Senior Data Scientist Jobs in Glasgow, DE

Going digital requires holistic thinking that puts humans at the center of everything. Entech delivers complete solutions including strategies, technologies, and implementation services to master digital convergence. We integrate our unique outside-in approach to people, processes, and technology to orchestrate digital empowerment to address today's business challenges. Mastering digital convergence at enterprise scale. Entech is hiring a Big Data Engineer for a financial services client. This is a hybrid role that involves working onsite in Malvern, PA, 3 days per week. Responsibilities Build Engineering pipelines aligned to standards, troubleshoot data discrepancies and ensure quality data. Working with Analytics and Business individuals Qualifications Minimum of 5 years' experience Python, Spark, AWS services, Bitbucket, Bamboo, Standard Data tools/process (ETL), Glue, IAC *We are looking for candidates willing to work directly on our W2.* No Corp-to-Corp. Entech is an equal-opportunity employer Benefits: · Medical, Dental, Vision Benefits · 401K · Paid time off

Looking for experts that can leveraging agile processes on a wide range of business and product-focused analytics projects! As a Data Scientist Senior Associate, within the Machine Learning and Intelligent Operations team, you will support advanced analytics projects across various Operations functions, channels, and products to support Machine Learning and AI initiatives across Consumer Banking and lead initiatives focused on improving Agent AI assistant. Job Responsibilities: Conduct in-depth data analysis to extract actionable insights, identify trends, and support data-driven decision-making across various servicing and operations functions, while focusing on improving customer and agent experience while reducing operating expenses for the Consumer Banking Operations space. Apply advanced statistical techniques and gained business knowledge to improve efficiency, reduce costs, and enhance the performance of operations. Work closely with cross-functional teams across engineering, design, and product to ensure the successful rollout of ML/AI solutions into business processes and systems and utilize enterprise data to develop automated data solutions using a mix of customer, account, digital, telephony, financial, and operational data. Oversee data collection, cleaning, and preprocessing to ensure high-quality input for machine learning models and analytics projects. Develop and deliver clear, concise reports and visualizations to communicate findings and recommendations to stakeholders, including senior management. Stay abreast of the latest developments in machine learning, artificial intelligence, and data analytics, and apply innovative techniques to enhance the bank's analytics capabilities. Leverage the agile process to deliver a wide range of business and product-focused analytics, including building and updating business cases, exploratory analysis to identify product enhancement opportunities, generating feature performance metrics and dashboards, and crafting data stories and presentations of key findings to stakeholders. Required Qualifications, capabilities, and skills: 3+ years of related experience with a Bachelor's degree in a quantitative or related field. Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology. Hands-on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, Alteryx, Snowflake, SAS). Familiarity with AWS, data mining, statistical modeling, machine learning, and other advanced analytics methods. Hands-on experience writing code and automating processes to source, transform, and analyze data from multiple sources, including structured and unstructured data. Preferred Qualifications, capabilities, and skills: Graduate degree in a related field is preferred.

A not-for-profit organization headquartered in beautiful Malvern, PA, The Institutes have been the leading provider of risk management and property-casualty insurance education for more than 100 years. By living our values-Put the Customer First, Do What You Say, Work Together, Be Innovative and Do the Right Thing- our talented team delivers innovative solutions that best empower risk and insurance professionals to help those in need. In 2024, The Institutes was named a Top Workplace by Philly.com for the ninth time. We understand the importance of work-life balance and provide excellent benefits and a friendly and team-focused work environment to drive employee engagement. Sr. Data Scientist The Insurance Research Council (IRC) Sr. Data Scientist is responsible for conducting primary research and creating content in support of the IRC's public policy mission and member value proposition. The role requires not only strong analytical skills, but also good communication skills (writing and presenting) to translate abstract mathematical and statistical concepts into everyday language. What You'll Do: Utilize advanced analytical techniques (including predictive modeling, machine learning, and AI) to conduct original research in the IRC proprietary auto injury claim analytics database (AICAD) Analyze insurance, economic, financial, and survey data to generate original research to benefit the insurance industry, IRC members, policymakers, and consumers Assist in the acquisition, preparation, analysis, and presentation of insurance, economic, financial, and survey data, including future updates of AICAD Perform analysis by processing data using best practices in data governance Communicate data excellence and insights via traditional reporting products and data visualization tools Contribute to the production of key IRC research projects, including reports, summaries, and presentations Perform additional data analytics and administrative tasks, as assigned Work well in an environment requiring teamwork, quick problem resolution, and shifting priorities Ability to effectively manage multiple tasks simultaneously Willingness to adjust work schedule to meet deadlines Representing and promoting IRC, both inside and outside The Institutes Participating on IRC and The Institutes teams, as requested Required Competencies Technical Knowledge: Experience working in AWS cloud-based data hosting environment and analytical software packages like Sagemaker. Experience with programming languages (e.g., SAS, R, SQL/VBA, Python). Advanced Microsoft Excel skills. Insurance industry knowledge: Competency in insurance, economic and financial data is a must Research & Data Analysis: Quantitative research and analysis skills - tools, methodologies, database management; Strong attention to detail and accuracy. Communication skills: Exceptional oral and written communication skills and ability to communicate throughout all levels of the organization, both internally and externally; Ability to present information and respond to questions professionally and effectively, conversationally and in written communications. Collaboration: Experience working in a team-oriented, collaborative environment; Exceptional interpersonal skills, with a focus on rapport-building, listening, and questioning skills. What We're Looking For: Bachelor's degree required Graduate degree in Mathematics, Statistics, or related field and/or member of the Casualty Actuarial Society strongly preferred Experience with programming languages required (SAS, R, SQL/VBA, Python) Experience with AWS cloud-based data hosting environment and analytical software packages like Sagemaker strongly preferred 5-7 years of work experience in actuarial analytics for the insurance industry strongly preferred Must have 5-7 years of experience conducting actuarial research and writing articles or reports Proficiency in Microsoft Office Suite required (Word, PowerPoint, Outlook). Advanced Microsoft Excel skills required Prior experience and/or working knowledge of the risk management or insurance industry required The Best Part? The Benefits! To enforce the importance of work-life balance, employees enjoy excellent benefits, including: 401(k) plan with company contribution up to 16% Generous time off package that includes paid vacation, personal, sick, and holidays Paid maternity and parental leave Tuition reimbursement Medical, dental, vision, and prescription coverage

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Scientist, Digital Data Development Duties\: Develop and enhance strategies and governance for Data solutions implementation and associated Cloud environment for multiple portfolios / workstreams / Product teams. Plan and forecast demands based on product needs for Cloud Platform resources and identify opportunities for greater efficiency/productivity across platform and associated environments. Optimize & manage Production & Non-Production environments, highlighting potential risks with proposed solutions and/or implementations. Collaborate with Technology and Data teams in design and implementation of Disaster Recovery and Business continuity solutions for the Data platform. Provide technical, thought and implementation leadership for Release and Test automation in Cloud environment through DevOps/DevSecOps/DataOps practices. Engage with Data Product Owners, Delivery leads, and Product Teams for detailed planning and ensuring requirements are properly captured and tracked through various environments of Data Products and supporting Cloud/Infrastructure environments. Analyze and mitigate risk pertaining to solution delivery timelines, quality, stability, and performance. Collaborate with relevant IDA Divisions on optimizing data operational processes to continuously improve and shift left for early detection of issues/challenges in Data Solution lifecycle. Adopt best practices and standards to capture Data Solution (including Data pipelines) and Axiom Platform performance indicators and develop feedback loops for IDA Product Teams. Lead and collaborate on remediations (through automation/tools/process enhancements). Participate in efforts to identify root cause analysis for production, non-production, environment, and process issues and deliver solutions. Work in the “Follow the sun” support model. Ensure documentation and auditability of operational processes. Work with various infrastructure teams to implement automated recovery steps or preventative measures. Achieve & maintain highest business customer confidence and net promoter score (NPS). Requirements\: Requires Bachelor's degree in Computer Science, Electronics Engineering or related field of study, and 5 years of experience in any job title/occupation/position involving Test, Automation and Release Management leading small teams and delivery with onshore and offshore resources. Experience specified must include 5 years of experience with each of the following: working in an Agile environment; developing and maintaining build platforms, packaging, deployment, testing, and releases using tools such as Jenkins, OpenShift, Harness, etc.; making recommendations to management on new processes, tools, techniques, and development of new products and services related to test and release automation; IT Change Management, Configuration Management, Incident Management and Release Management processes and activities; programming languages including Java, Java Script, Spring Boot, Python and using OOPS concepts; and building web UI, Backend API's, Microservices automation frameworks in TDD (Test Driven Development) or BDD (Behavior Driven Development) development model using tools such as Selenium, Serenity, Maven, Cucumber, JBehave, etc. Experience specified must include 3 years of experience with each of the following: working in a Public cloud infrastructure environment using MS Azure Cloud platform; managing and optimizing Data platforms, including databases, data stores and associated environments; Data Engineering and Big Data technologies including Databricks, Apache Spark, Informatica, Hadoop, Cosmos DB, Unix and Power BI; and designing and developing performance test frameworks using LoadRunner and JMeter in a cloud setting. Telecommuting permitted up to 2 days a week. Employer: XL Global Services, Inc. Work Location: 500 Eagleview Blvd, Suite 100, Exton, PA 19341 Salary\: · The pay range for this position is $125,611 to $142,000 /year. Actual pay will be determined based upon the individual's skill, experience and location. We strive for market alignment and internal equity with our colleague's pay. · For more details about AXA XL's benefits offerings, please visit myaxabenefits.com Apply at: Apply online at ****************************** and click "Browse. Register. Apply." to reach search page. Type Scientist, Digital Data Development or Job #25000004 into the position title field to find and apply for this job. If job is not appearing, e-mail your resume including reference #25000004 to ******************************** Contact\: Cynthia MacGregor XL Global Services, Inc. (a member of the AXA SA Group) 677 Washington Blvd, Suite 1000 Stamford, CT 06901 AXA XL is an Equal Opportunity Employer and does not discriminate against any colleague or applicant for employment on the basis of race, color, national origin, religion, sex, gender identity and/or expression, sexual orientation, age, disability, genetic information, veteran status, military status or any other category protected by local law.

At Customers Bank, we believe in working hard, working smart, working together to deliver memorable customer experiences and having fun. Our vision, mission, and values guide us along our path to achieve excellence. Passion, attitude, creativity, integrity, alignment, and execution are cornerstones of our behaviors. They define who we are as an organization and as individuals. Everyone is encouraged to have personal development plans. By doing so, our team members are on their way to achieve their highest potential and be successful in their personal and professional lives. Work Location: Hybrid in Malvern or West Reading, PA., coming into the office at least 3-days per week with Monday, Tuesday, and Thursday being the set in-office days. If within a 50-mile radius of a Customers Bank location, the expectation is to be hybrid. All subject to change. Must be legally eligible to work in the United States without sponsorship, now or in the future, to be considered. Who is Customers Bank? Founded in 2009, Customers Bank is a super-community bank with over $22 billion in assets. We believe in dedicated personal service for the businesses, professionals, individuals, and families we work with. We get you further, faster. Focused on you: We provide every customer with a single point of contact. A dedicated team member who's committed to meeting your needs today and tomorrow. On the leading edge: We're innovating with the latest tools and technology so we can react to market conditions quicker and help you get ahead. Proven reliability: We always ground our innovation in our deep experience and strong financial foundation, so we're a partner you can trust. What You'll Do: We are looking for talented AML Technology Developers/Data Scientists to support the design and tuning of transaction monitoring scenarios. In this role, you will work alongside the AML Technology Manager to enhance the organization's ability to detect and prevent financial crimes, utilizing the latest in data science and compliance technologies. Key Responsibilities: Assist in the development and tuning of transaction monitoring scenarios for AML compliance. Utilize data science techniques to analyze and improve the efficiency of AML transaction monitoring systems. Build models to detect suspicious activities and continuously improve transaction monitoring rules. Collaborate with the AML Technology Manager and compliance teams to integrate and implement new technologies for financial crime prevention. Stay updated on new tools and techniques in financial crime compliance and make recommendations for system enhancements. Develop dashboards and reports that provide insights into transaction monitoring performance. What Do You Need? Bachelor's degree in computer science, data science, or a related field. 5 - 7 years of experience in AML technology or a related field. Strong programming skills (Python, SQL, or similar languages) and experience in data modeling and analysis. Experience with AML transaction monitoring tools and technologies. Knowledge of machine learning and data science techniques is preferred. Ability to work collaboratively with cross-functional teams. Technology Skills: Ability to work with the Microsoft Suite and learn/work with other Customers Bank's applications. Customers Bank is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also provide “reasonable accommodations”, upon request, to qualified individuals with disabilities, in accordance with the Americans with Disabilities Act and applicable state and local laws. Diversity Statement: At Customers Bank, we believe in working smart, working together, and having fun while delivering innovative solutions and memorable experiences for our customers. We are committed to the continual advancement of a culture which reflects the value we place on diversity, equity, and inclusion. We honor the diverse experiences, perspectives, and identities of our team members, and we recognize that it is their passion, creativity, and integrity that drives our success. Step into your future with us! Let's take on tomorrow.

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Senior Data Scientist will work as part of this multi-disciplinary team that will be driving solution design, development, and deployment of analytic models in support of marketing strategies. They are knowledgeable in methodology and practice of marketing analytics with an emphasis on inferential and prescriptive methods. This individual has experience with website, email, and media measurement. This person will work closely with teammates in Marketing Applied Sciences and stakeholders in GM's Marketing organization to ensure objective performance evaluation and optimization of media strategy. This senior data scientist will assist in the research and development of advanced marketing models, drawing insights, and creating scalable products across owned & paid channels. They will be part of a team focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs **What You'll Do** + Work on a diverse, cross-functional team (technical and non-technical) to help implement high-impact, data-driven solutions to address business challenges in the vehicle brand marketing teams, ensuring that project deliverables fulfill business needs and timing. + Possess contextual business knowledge and functional domain expertise in the advertising and media space as well as familiarity with marketing media measurement techniques including site/clickstream measurement, A/B testing, and various industry measurement media platforms. + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: preprocessing multisource data; and presenting complex information using data visualization techniques. + Demonstrate an ability for using data, analytics, and insights driving business-impact. + Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Effectively communicate through telling a succinct, data-driven story in any forum, tailoring delivery to a wide range of stakeholder levels from analyst to senior executive. **Your Skills & Abilities (Required Qualifications)** + 5+ years of experience as a data Scientist or in a related role, developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Master's Degree or Ph.D. in Marketing Science, Econometrics, Statistics, Psychometrics, (Bio) Statistics, Applied Mathematics, Operations Research, or another quantitative field. + 2+ years of experience working with site/clickstream measurement, A/B testing, and various industry measurement media platforms + Expertise with fundamental statistical concepts and considerations for selecting an appropriate modeling technique. + Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality. **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable. + Familiarity with advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression. + Prior experience with paid, earned, and owned media and/or marketing analytics **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800- $232,900. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Job Title - Sr. Data Scientist** + **Job Summary:**We are seeking a highly skilled and experienced Principal Data Scientist to lead our data science initiatives, specifically focusing on developing and implementing **Price Elasticity** , Promotional Effectiveness, and Decomposition Models. This role will play a critical part in driving data-driven decision-making and optimizing pricing strategies to enhance business performance.**Key Responsibilities:**- Lead the development and implementation of advanced statistical models to analyze price elasticity, promotional effectiveness, and sales decomposition.- Collaborate with cross-functional teams, including marketing, finance, and product management, to understand business needs and translate them into data-driven solutions.- Design and conduct experiments to test pricing and promotional strategies, and analyze the results to provide actionable insights.- Develop and maintain scalable data pipelines and infrastructure to support model development and deployment.- Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation.- Communicate complex analytical concepts and results to non-technical stakeholders in a clear and concise manner.- Stay up-to-date with the latest advancements in data science, machine learning, and statistical modeling techniques.**Qualifications:**- Master's in Data Science, Statistics, Computer Science, Mathematics, or a related field.- Proven experience in developing and implementing price elasticity, promotional effectiveness, and decomposition models.- Strong proficiency in programming languages such as Python, R, and SQL.- Expertise in machine learning techniques, statistical modeling, and data analysis.- Excellent problem-solving skills and the ability to work independently and collaboratively.- Strong communication skills with the ability to present complex information to diverse audiences.- Experience with big data technologies and cloud platforms Azure is a plus.**Preferred Skills:**- Experience in the retail or consumer goods industry.- Familiarity with data visualization tools Power BI or any other UI tool for Scenario building- Knowledge of A/B testing and experimental design **LI-PT1** **Salary and Other Compensation:** Applications will be accepted until Jan 3rd 2025. The annual salary for this position is between $120- 175Kdepending on experience and other qualifications of the successful candidate.This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant's applicable plans. **Benefits** : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:Medical/Dental/Vision/Life InsurancePaid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term DisabilityPaid Parental LeaveEmployee Stock Purchase Plan **Disclaimer:** The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law

APPLICATION INSTRUCTIONS: * CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. * CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. * If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Pennsylvania State University Libraries seek creative, forward-thinking applicants for a renewable 3-year-term position of CBDR Data Scientist, Senior Supervisor. This senior supervisor position is housed in the Center for Black Digital Research (CBDR), a collaboration between the College of Liberal Arts, the University Libraries, and, imminently, the College of Engineering, working in concert with the directorate of research faculty from these multiple colleges. The Data Scientist will collaborate to apply data analysis, visual analytics, and other computational techniques to research with data science and digital humanities methods that align with the CBDR's principles and practices. The position will report to the Digital Humanities Librarian within the Research Informatics and Publishing Department with day-to-day management by the CBDR interdisciplinary faculty directorate. The Center for Black Digital Research is home to a diverse community of students, staff, faculty, and external partners. The Data Scientist will collaborate with research faculty in the analysis and development of computational methods of datasets, digital collections, and related metadata; propose solutions using theories and techniques to advance CBDR's research agenda; analyze system pipelines, workflows, and software options to establish and ensure effectiveness, scalability, and interoperability of computing and digital publishing infrastructures within the Center's projects and with external partner institutions; provide consultation and expertise of computational applications to a research team ranging from undergraduates to faculty; perform, train, and supervise computerized data processing operations, statistical analysis, and data visualizations in common digital humanities applications; assess and determine feasibility of Center objectives and the related interlocking systems and applications to ensure compatibility, quality, and timeliness that bridges interdisciplinary gaps and streamlines cross-disciplinary project work; and author or co-author papers, proposals, presentations, and report. The Data Scientist will supervise project teams, including student and faculty committee chairs, to ensure quality, efficiency, and sustainability in ways that embrace the Center's commitments to expanding opportunities in what we call transformational technologies at the intersection of AI, machine learning, and the digital humanities. This position will help lead the CBDR's new efforts to research, develop, and present new ideas, concepts, and solutions, such as applying machine learning, large language models, or other innovative technologies to enhance and expand public access to the CBDR's digital collections. Working closely with CBDR faculty directors and partners across disciplines, the Data Scientist will also contribute to the pursuit of major external funding sources by assisting in planning, forecasting, tracking budgets, and validating and approving specific area and grant-related expenses. Major responsibilities will include: * Leading new technical innovations for working with datasets on CBDR projects, including by developing new quantitative and qualitative techniques, concepts, or approaches to datasets. * Leading or co-leading new efforts to explore, understand, and present new approaches to applying machine learning, large language models, or other technologies that will address current technical challenges and advance the CBDR's work with data and digital collections. * Developing and implementing training and mentorship programs for interdisciplinary teams on data workflows across multiple projects and areas of research, drawing from best practices in the fields of digital humanities, CIS, data science, and/or machine learning. * Leading or co-leading the implementation of new technical innovations by coaching and mentoring early-stage and advanced researchers. * Organizing, assigning, and reviewing completed work to verify accuracy, quality, and adherence to professional standards. * Problem solving moderate to complex problems, applying expertise and practices of the field to propose possible solutions and sharing the benefits, limitations, and impact of these possible outcomes and how they can map onto the CBDR's multi-layered digital ecosystem. * Sharing and demonstrating expertise at venues (conferences, training programs, publications) to contribute to advancing of CBDR scholarly research agendas and elevates the profile of Black public and digital humanities and transformational technologies. * Fostering a strong culture of internal and external communication, including by translating new technologies across rank and multiple academic disciplines. * Clearly communicating internally with CBDR project teams and Libraries departments (i.e. Special Collections, Preservation, Conservation, and Digitization, Strategic Technologies, and Research Informatics and Publishing) and with external audiences (i.e. faculty partners and institutions) in styles that are appropriate. * Contributing to maintenance, sustainability, and documentation of the CBDR digital infrastructures, computational applications, and related software. Required Qualifications: * Minimum education and experience (or equivalent combination) to include: * A Master's degree OR a terminal degree in a relevant subject area combined with professional experience. Relevant areas include: African American Studies, Africana Studies, History, or English with a sustained emphasis on African American people and culture. * Undergraduate or graduate degree in computer science, data science, and related technical fields, or significant professional experience in those areas. * 6+ years of experience in conducting academic, humanistic, and digital research. * Experience critically applying computational methods to the process of collecting, refining, analyzing, and interpreting complex datasets. * Experience using data visualization and mapping software, techniques, and tools to translate complex data for non-specialist audiences. * Excellent written and oral communication to engage multiple audiences. * Experience managing interpersonal dynamics, problem-solving, and team building. * Ability to work independently and collaboratively in a complex, rapidly changing, and professionally diverse environment. Preferred Qualifications and Experience: * Experience working with interdisciplinary teams of technical and subject matter experts to leverage and transform content management systems in manners that prioritize the needs of stakeholder communities and diverse audiences. * Working with and engaging students, faculty, and communities of color and other underrepresented communities to learn digital competency and navigate academia. * Leadership skills and problem-solving acumen to build and manage teams and processes that anticipate and resolve complex challenges in the areas of data, digital collections, and related areas. * 2+ years of experience conducting collaborative research in Black digital collections and/or archives, including but not limited to dataset development, crowdsourcing, etc. * Experience or formal education in technical design, programming languages, data science methods and/or application administration, project management, and user support. * Experience working productively alongside other experts in African American Studies, archives, curriculum, or public arts programming. The Center for Black Digital Research (CBDR) is a public-facing, digital research center with a focus on supporting innovative scholarship; student training; building pipelines that diversify the professoriate; and preparing students for diverse careers. The Center is founded on a set of lived principles that include a commitment to community-building, ethical collaboration, and shared and distributed leadership. CBDR is supported by the College of Liberal Arts and the Provost's Office, in partnership with the University Libraries and will be housed on the 3rd floor of Pattee Library at Penn State University's University Park campus. For more information visit digblk.psu.edu. The salary range for this position, including all possible grades is: $86,300.00 - $129,500.00 Salary Structure - additional information on Penn State's job and salary structure. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. Employment with the University will require successful completion of background check(s) in accordance with University policies. EEO IS THE LAW Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact ************. Federal Contractors Labor Law Poster PA State Labor Law Poster Affirmative Action Penn State Policies Copyright Information Hotlines University Park, PA

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Position: 1 Job Title: Analytics - Principal Consultant 100% Travel Duration : Full Time Permanent Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Must Have Skill/Competency: •Domain - Retail and/or CPG domain Knowledge •Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement •Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting •Data Understanding of Sales, Inventory, Store, Product and Promotion Data •Ability to translate business requirement to analytical model •Communicate directly with business users •Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview Nice to have Skill/Competency: •Hadoop, Spark, Python •Tableau/Spotfire/Qlikview •Nielsen/IRI/Market Research Data understanding Job responsibilities: •Understand business requirement from client and translate it to appropriate Analytics use cases •Work in a team environment to deliver analytics solution to client •Define new business metrics as required and build measurement systems as needed •Enjoy designing, develop and deploy state of the art, data-driven predictive models •Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, •Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Position: 2 Job Title: Analytics - Data Scientist - Architect 100% Travel Duration : Full Time Permanent Skillset: Analytics , Domain: Business Intelligence Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Qualifications Preferred • MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics • 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms • Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software • Knowledge of Perl, Python or Ruby; experience with Java, C or C++ • Experience with Apache Spark and Scala • Knowledge of Clojure or Julia for statistical learning and optimization algorithms • Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc. • Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing Job responsibilities • Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data • Define new business metrics as required and build measurement systems as needed • Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems. • Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities • The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Additional Information All your information will be kept confidential according to EEO guidelines.

The Data Scientist is responsible for identifying and analyzing data regarding Citadel's members and prospective customers, making recommendations and providing insight to Citadel leadership in critical decision-making that drives attainment of strategic and business objectives, including growth and sales. The Data Scientist will design and create predictive modeling solutions to assist various departments in the planning, management and measurement of product development, customer service, sales and marketing. They will partner directly with the IT team responsible for building and developing data platforms. The Data Scientist will make appropriate data accessible and available for the organization and will be able to develop creative solutions to process large volumes of non-traditional data. They will be responsible for understanding and investigating state-of-the-art techniques in machine learning, predictive modeling, and advanced data analysis. Strong experience using a variety of data analysis methods, using a variety of data tools, with a proven ability to drive business results with data-based insight. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Duties and Responsibilities * Collaborate with Finance, Risk, Marketing, Retail, Product teams and other Citadel business leaders to determine and prioritize needs for predictive models. * Analyze a particular use case and recommend an appropriate predictive model solution * Mine and analyze data from company databases to drive optimization and improvement of product, channel, marketing techniques, and business strategies * Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes. * Provide data insights to support the development of Use Cases - partner with the business to capture and document Business Requirements, Business Definitions, Data Definitions, Visual Requirements, and Test Scripts. * Apply various analytic methods to discover and interpret information about customer and prospective customer behavior from multiple data sources, including Citadel's website, social media, customer account data, data from external partners, and other sources. * Compile data from multiple data platforms and integrate data into actionable learnings. * Participate in cross-functional teams * Manage relationships with outside service providers and internal stakeholders for efficient and effective results. Qualification & Education Requirements * 5+ years related data management and analysis experience, including experience in consumer behavior data mining and analysis * 3+ years related experience developing database solutions / applications Retail banking or other financial services/customer service experience preferred * Bachelor's degree required. Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field preferred * Proficiency in specialized database software. * Proficiency in Microsoft Office suite. * 2+ years of experience analyzing large data sets with Python, R, or SAS * 2+ years of experience building predictive and descriptive statistical models using machine learning tool kit, Data Robot, Jupyter notebooks, Python, and/or SAS * 2+ years of experience data mining and statistical modeling (e.g, regression modeling, clustering techniques, decision trees, etc.) * 3+ years of experience with structured query language (SQL) * CRM experience, preferred * Experience in production with a Large Language Model (LLM) platform, preferred Additional Skills/ Notes * Demonstrated ability to break down and analyze multi-dimensional business and technical issues. Experience in integrating information from a variety of resources, formats and systems. * Excellent analytical skills. * Excellent written and oral communication skills. * Excellent organizational skills. * Demonstrate adaptability when interacting with internal clients. * Maintain confidentiality, promote integrity, and support the corporate mission. * Ability to collaborate on and occasionally lead projects * Agile project management preferred

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

JobID: 210602984 JobSchedule: Full time JobShift: Day : If you are passionate about Predictive Science, join us to leverage Artificial Intelligence (AI)/Machine Learning (ML) and analytics for anticipating trends and driving informed decisions. As a Lead Data Scientist in Workforce Planning (WFP), you will spearhead the development and implementation of advanced AI/ML solutions to address complex, data-intensive challenges within the organization. You will be responsible for quickly assessing unstructured problems, devising innovative problem-solving strategies, and delivering impactful data science solutions that enhance real-time inference and decision-making capabilities. Your role will involve analyzing key topics, developing solution proposals, and collaborating with management to prioritize, time, and deliver projects that align with business objectives. You will lead efforts in data management, model development, and continuous improvement, ensuring that solutions are efficient, ethical, and aligned with the company's strategic goals. Your expertise will be pivotal in driving the next generation of data-driven decision-making processes within the workforce planning domain. The WFP organization is a part of Consumer and Community (CCB) Operations division. The WFP Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP organization supports Chase's call centers, back office, and 5,200 retail branches. Job Responsibilities * Design and development of Machine Learning, Artificial Intelligence and Statistical models. * Lead Artificial Intelligence (AI)/Machine Learning (ML) projects along with mentor and coach junior team members. * Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. * Identify and select the correct method to solve the problem while staying up to data on the latest AI/ML research * Ensure the robustness of any data science solution. * Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story. * Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required Qualifications, Capabilities, and Skills * Master's Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines. * 2+ years of experience leading AI/ML projects with multiple team members * Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models. * Deep understanding of math and theory behind AI/ML algorithms. * Proficient in data science programming languages like Python, R or Scala. * Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.). * Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred Qualifications, Capabilities, and Skills * Advanced expertise with Time Series and Operations Research techniques. * Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills. * Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP). * Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

New York, New York, United States of America **Hours:** 40 **Pay Details:** $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. **Line of Business:** Analytics, Insights, & Artificial Intelligence **:** **Department Overview:** The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We are seeking a Data Science specialist to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting. **Job Description:** The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. **Depth & Scope:** + Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability + Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels + Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes + Position typically deals with senior/executive management + Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size + Focuses on longer-range planning for functional area (e.g. 12 months or greater) + May manage and prioritize multiple projects at a given time **Education & Experience:** + Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or + 5+ year of relevantexperience; higher degree education and research tenure can be counted **Preferred Skills:** + In lieu of 5+ years of relevant experience, we will consider 3+ years of relevant experience + Proficient with Python or equivalent programming language and SQL + Experience in Financial Crimes / Compliance Risk Analytics + Experience in optimization / testing / tuning of AML/CTF solutions + Experience with NetReveal, Quantifind, or similar analytics tools **Customer Accountabilities:** + Works closely with business owners to identify opportunities and serves as an ambassador for data science + Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions + Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data + Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding + Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business **Shareholder Accountabilities:** + Analytical thought leadership and stays current on developments in data mining and the application of data science + Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency + Educates the organization on approaches, such as testing hypotheses and statistical validation of result + Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment + Translates up to date information into continuous improvement activities that enhances performance + Adheres to enterprise frameworks or methodologies that relate to activities for business area + Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities + Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations + Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist + Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues + Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements + Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts + Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite **Employee/Team Accountabilities:** + Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest + Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit + Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques + Participates in personal performance management and development activities, including cross training within own team + Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities + Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices + Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships + Contributes to a fair, positive and equitable environment that supports a diverse workforce + Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally **Who We Are:** TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. **Our Total Rewards Package** Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (*************************************** **Additional Information:** We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. **Colleague Development** If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. **Training & Onboarding** We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. **Interview Process** We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. **Accommodation** If you are an applicant with a disability and need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program at *************** . Include your full name, best way to reach you, and the accommodation needed to assist you with the application process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 7. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 8. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $114,000/year to $171,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Affluent Card Analytics team is part of Card D&A which provides cutting edge analytical solutions and works closely with Card Product Leadership. The team utilizes Data Science, Machine Learning and Visualization capabilities to generate insights and work closely with the business to drive innovation and business impact. As a Lead Data Scientist within the Sapphire Products team, you will collaborate closely with Product Owners to provide crucial insights through descriptive, diagnostic, predictive, and prescriptive analytics. Your role will involve building consensus with Product Owners on the promotion of customer engagement by defining metrics, sourcing data, developing queries, and generating reports. Job responsibilities Create data points using best practices to ensure high data quality and reduced redundancy Rationalize complex normalized data sets allowing for ease of cross org consumption Translate data into meaningful insights and present a compelling story to stakeholders for decision making Bring in experience in the production, optimization and automation of recurrent reports Analyze travel-related data to understand customer behavior and trends across different channels. Monitor and assess the impact of guardrails on customer journeys to ensure a seamless booking experience. Identify key entry points in the customer journey and optimize them for improved conversion rates. Design and conduct experiments to measure the effectiveness of new features or changes in the travel booking flow. Collaborate with Product team, other Data & Analytics teams, and Channels team, to gain insights into customer behavior and preferences from an end-to-end experience. Develop and maintain Adobe Analytics dashboards to track key metrics and performance indicators. Utilize heatmaps and other visualization tools to identify areas of improvement in the user experience. Required qualifications, capabilities and skills Bachelors degree in quantitative or related field with 8+ years of analytics experience Strong Adobe Analytics knowledge Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, etc.) Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key Experience with Hadoop, Teradata, Oracle and SQL DBs Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise Intellectually curious and eager to learn new things with an eye for innovation Highly organized and able to prioritize multiple tasks Good written and oral communication skills Operational business knowledge of processes, data, controls, and technology platforms Preferred qualifications, capabilities and skills Functional industry experience in operations, marketing, credit/risk, technology or finance Intermediate knowledge of Machine Learning Experience with visualization techniques for data analysis and presentation (Tableau preferred) Basic skills with JIRA, Confluence Familiarity with Cloud (AWS, Snowflake) based data solutions and tools

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Position: 1 Job Title: Analytics - Principal Consultant 100% Travel Duration : Full Time Permanent Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Must Have Skill/Competency: •Domain - Retail and/or CPG domain Knowledge •Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement •Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting •Data Understanding of Sales, Inventory, Store, Product and Promotion Data •Ability to translate business requirement to analytical model •Communicate directly with business users •Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview Nice to have Skill/Competency: •Hadoop, Spark, Python •Tableau/Spotfire/Qlikview •Nielsen/IRI/Market Research Data understanding Job responsibilities: •Understand business requirement from client and translate it to appropriate Analytics use cases •Work in a team environment to deliver analytics solution to client •Define new business metrics as required and build measurement systems as needed •Enjoy designing, develop and deploy state of the art, data-driven predictive models •Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, •Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Position: 2 Job Title: Analytics - Data Scientist - Architect 100% Travel Duration : Full Time Permanent Skillset: Analytics , Domain: Business Intelligence Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Qualifications Preferred • MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics • 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms • Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software • Knowledge of Perl, Python or Ruby; experience with Java, C or C++ • Experience with Apache Spark and Scala • Knowledge of Clojure or Julia for statistical learning and optimization algorithms • Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc. • Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing Job responsibilities • Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data • Define new business metrics as required and build measurement systems as needed • Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems. • Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities • The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Additional Information All your information will be kept confidential according to EEO guidelines.

Hours: 40 Pay Details: $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence : Department Overview: The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We are seeking a Data Science specialist to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting. Job Description: The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. Depth & Scope: * Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability * Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels * Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes * Position typically deals with senior/executive management * Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size * Focuses on longer-range planning for functional area (e.g. 12 months or greater) * May manage and prioritize multiple projects at a given time Education & Experience: * Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or * 5+ year of relevant experience; higher degree education and research tenure can be counted Preferred Skills: * In lieu of 5+ years of relevant experience, we will consider 3+ years of relevant experience * Proficient with Python or equivalent programming language and SQL * Experience in Financial Crimes / Compliance Risk Analytics * Experience in optimization / testing / tuning of AML/CTF solutions * Experience with NetReveal, Quantifind, or similar analytics tools Customer Accountabilities: * Works closely with business owners to identify opportunities and serves as an ambassador for data science * Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions * Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data * Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding * Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business Shareholder Accountabilities: * Analytical thought leadership and stays current on developments in data mining and the application of data science * Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency * Educates the organization on approaches, such as testing hypotheses and statistical validation of result * Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment * Translates up to date information into continuous improvement activities that enhances performance * Adheres to enterprise frameworks or methodologies that relate to activities for business area * Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities * Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations * Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist * Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues * Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements * Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts * Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite Employee/Team Accountabilities: * Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest * Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit * Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques * Participates in personal performance management and development activities, including cross training within own team * Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities * Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices * Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships * Contributes to a fair, positive and equitable environment that supports a diverse workforce * Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation If you are an applicant with a disability and need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program at ***************. Include your full name, best way to reach you, and the accommodation needed to assist you with the application process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.