Data Scientist Jobs in Marple, PA

A large retail bank located in Midtown Manhattan looking to bring on board a “ AML Technology Developer/Data Scientist” to join their team. The role is on a hybrid schedule, in office 3 days a week. 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.

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

The American Board of Internal Medicine (ABIM) is currently seeking a Data Analyst to join our Psychometrics team. In this role, the Data Analyst provides analytic/research support to Psychometricians and Assessment & Research staff through data management, data dissemination, and statistical analysis. Reporting to the Manager, Psychometric Data Analysis, the Data Analyst has the following responsibilities: Perform routine processing for Item Response Theory and Classical Test Theory exams. Perform statistical analyses for quantitative/qualitative research projects. Design, develop, test, implement, and document statistical/analytical computer algorithms in high-level software packages. Generate and check various psychometric reports, tables, and graphs for internal and external stakeholders. Run Automated Test Assembly software for use in Standard Setting meetings. Assure data accuracy and completeness in reports, files, and database. Develop, document, update, and maintain analytical data files and databases. Participate in and contribute ideas for project management, quality improvement, and user acceptance testing. The ideal candidate has an undergraduate degree in a related field of study with at least three years of relevant experience in data analysis and management. A graduate degree in Health Services Research, Biostatistics, Applied Statistics, Public Health, Psychology, Measurement, or related field is highly desirable. The proven ability to extract data from large databases and files for statistical analysis and report generation and interpretation, along with strong working experience with basic statistical packages and experience with the MS suite of programs are essential to this role. A detail-oriented individual with the capacity to master database query language (SQL, PL/SQL, PROC SQL), strong quantitative analytical and research skills, and an understanding of basic research methodology and survey instrument design will thrive in this role. They must also have the ability to work independently with limited supervision, as well as demonstrate a consistent commitment to working effectively across the organization. The ability to assess priorities, and adjust work schedules appropriately in order to meet deadlines is a must. In addition, experience with item response theory scoring and calibrations is highly desired. This role requires an on-site office presence at least two days per week. ABIM offices are located in the historic section of Philadelphia, 510 Walnut Street. Our technology and workplace operations teams provide for and support a seamless hybrid work environment for all ABIM employees. * * * At the American Board of Internal Medicine (ABIM), our team of unique and talented professionals, and the inspiring work they do, are essential to meeting the needs and expectations of ABIM's diverse community of physicians. ABIM is like no other workplace, and we are proud of it. We are committed to recognizing the importance of our people by investing in their lives through ongoing learning opportunities and exceptional total compensation & benefit offerings. We look forward to learning more about your interest in joining our team. EOE

Reference Data Management (RDM): o Design , analyze & reference data structures to support organizational data needs. o Maintain and govern high-quality reference data, ensuring accuracy, consistency, and compliance. o Collaborate with teams to align reference and master data strategies, focusing on enhanced data integration and governance. Semantic and Ontology Expertise: o Analyze , Develop and implement ontology-driven solutions to enhance data integration and semantic interoperability across systems. o Semantic techniques to enrich reference data with contextual knowledge relevant to the life sciences and pharma industry. o Ensure adherence to industry standards for ontologies and semantic frameworks. o Expertise in ontology modeling, including classes, properties, axioms & instances. Tool Proficiency: o Leverage tools like Ataccama, SciBite, TIBCO EBX, or similar to design and manage reference data solutions. o Evaluate and recommend tools and technologies to advance RDM and semantic capabilities Collaboration and Agile Execution: o Work in a cross-functional Agile team to deliver iterative solutions aligned with organizational goals.(SAFe knowledge preferred) o Contribute to the creation of data governance roadmaps and influence long-term data strategy. o Collaborate with business stakeholders to gather requirements and translate them into scalable solutions. Roadmap Development and Solutioning: o Assist in defining the strategic roadmap for reference data and semantic solutions. o Propose innovative approaches to data management challenges, driving efficiency and value generation.

This is an on-site opportunity. Applicants must be located in the Spring House, PA area. Kelly Services, a global leader in manufacturing career placement, is thrilled to present an exciting opportunity for a Data Analyst. We're seeking a detail-oriented and driven individual who thrives in a fast-paced environment and is passionate about data management and process improvement. Join our dynamic team and contribute to impactful projects with global reach! Position Title: Data Analyst - Global Operations Schedule: Monday-Friday 8AM-5PM Compensation: $40 Hourly Comprehensive Benefit Package Location: Spring House, PA Professional Summary: The Data Analyst role involves maintaining and updating global databases, ensuring inventory accuracy, and providing helpdesk support for user inquiries. You will collaborate with teams across regions, particularly EMEA(Europe, the Middle East, and Africa), to identify and implement process improvements. The position also includes performing data analysis, such as tracking overdue items and identifying root causes of delays or discrepancies in inventory and system data. Additionally, the role involves updating and maintaining Laboratory Operations and customer dashboards using MS Power Apps and Power Automate This is an on-site position requiring strong attention to detail, the ability to work independently or as part of a team, and proficiency in MS Excel and Word. Ideal candidates will also have experience with CMMS systems (Computerized Maintenance Management System) and programming skills. Key Responsibilities: Maintain and update data in the global database to ensure accuracy and consistency. Keep inventory up to date at all times to support operational efficiency. Act as a helpdesk for user inquiries, providing timely and effective support. Collaborate with the EMEA team to ensure smooth global operations. Identify and implement process improvements that drive better results. Perform data analysis on overdue items, uncover root causes, and create insightful reports. Review and mine data to keep Laboratory Operations and customer dashboards updated. Provide programming support for dashboard maintenance using MS Power Apps, Power Automate, and other tools for internal data collection. What We're Looking For: A self-starter with excellent attention to detail and a passion for continuous learning. Ability to work both independently and as part of a collaborative team. Quick to learn new skills and adapt to new technologies. Proficiency in MS Excel and MS Word. Experience with CMMS systems or other enterprise databases is a plus. Prior experience with Microsoft Power Apps and Power Automate is highly desirable. Programming skills are a plus! Education Requirements: Required: High School Diploma. Preferred: Associate or Bachelor's degree in Computer Science, Information Systems, or a related field. Why Kelly Services? Kelly Services is a global leader in staffing solutions and a trusted partner to top companies worldwide. As a Kelly Services employee, you'll enjoy a career path with opportunity, stability, and the chance to make a meaningful impact. We value talent, innovation, and the pursuit of excellence. If you're ready to take the next step in your career and join a dynamic, growth-driven team, apply today! We look forward to seeing how your skills can contribute to our exciting work! Kelly Services - Where passion meets opportunity

Your role as a Lead Data Scientist is to support stakeholders through data science techniques and building the solutions for the business's key initiatives. In addition, you will leverage PandaDoc's data to enhance business performance and help stakeholders achieve their goals. You will be assisting the business to continue its evolution into a data-driven culture and will apply and inspire the adoption of advanced data science across the business. You will report to the Director of Product & Growth Analytics and work closely with Product as well as Finance, Design, and Engineering. As a Lead Data Scientist, you will take full ownership of your projects from start to finish. This includes collaborating with stakeholders to understand key business questions, sourcing and preparing data, performing exploratory data analysis, building and fine-tuning models, and conducting in-depth analysis. You will communicate your findings and insights through dashboards, visualizations, and presentations, ensuring alignment with business objectives. In this role, you will: Use data and apply creative analytical problem-solving skills to a wide variety of product questions to deepen our understanding of customer workflows, churn risk, and long-term value Develop statistical models, machine learning algorithms, process automations, and predictive analytics solutions to address business challenges Design experiments to test hypotheses and apply advanced statistical techniques and causal inference methods (i.e. A/B testing, statistical tests, Bayesian experimentation, etc.) to assess effectiveness of proposed changes Assist the business and management team in the decision making process using data analysis to make actionable recommendations Understand business strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals Craft, deliver and own performance monitoring dashboards that guide understanding of how the business is performing today and where it may go next Work with the data engineering team to get data pipeline processes productionized and automated Example projects could include: Research and analyze different segments of our customer base to determine better product offering strategies Develop a feature recommendation model to be deployed in product Build predictive models focused on account adoption and expansion allowing us to improve customer experience, profitability, and forecasting About you: 7+ years hands-on professional experience in analytics working with large, complex, and multifaceted data sets and applying machine learning science techniques to solve practical business problems 7+ years of experience working with cleaning, manipulating, and visualizing data you can extract from multiple sources and an established data warehouse (Snowflake, Redshift, Oracle, Postgres, etc) Have a focus on creating repeatable work for models that are not unnecessarily complex Comfortable managing multiple projects, competing priorities, and an evolving roadmap Excellent communication and presentation skills and proven ability to translate data into actionable insights Excellent interpersonal skills, with a consistent record of working across and communicating with all levels of the organization Team player who understands the collaborative nature of this work with the ability to influence at C-suite level in a cross-functional environment B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, Engineering Sciences or related discipline Experience using the following software/tools: Relational Databases, including Postgres and Snowflake R or Python experience with related data science packages (SciKit-Learn, numpy, pandas (duh), Matplotlib) Visualization tool (Tableau, PowerBI, Domo, Qlik, etc) Data pipeline and workflow management tools, such as dbt is helpful It would be awesome if you had but not a must: Experience in B2B; Advanced degree e.g. Masters; Company Overview: PandaDoc empowers more than 50,000 growing organisations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit ************************* Company Culture: We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team. Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. Check out our LinkedIn to learn more. Benefits: Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with! PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law . Application deadline: March 31st, 2025 EXTERNAL RECRUITERS Approval Requirement The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc. The compensation range for this position in the USA is $145,000 - $175,000 USD plus equity.

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.

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

Data Scientist - Digital & Social Media Analytics Location: RemoteJob Type: Freelance/Contract About the Role We are seeking Data Scientists - to uncover powerful insights that drive strategic marketing and communications initiatives. This role requires a deep understanding of digital and social media analytics, with the ability to track and analyze conversations across all social platforms, blogs, forums, and digital media to identify key trends, sentiment, and audience behaviors. Important to be able to translate complex data into actionable insights that inform high-impact campaigns, enhance brand positioning, and shape storytelling strategies. The ideal candidate is highly analytical, strategic, and passionate about leveraging data to drive engagement and results. Key Responsibilities Track, collect, and analyze data across social media platforms, blogs, forums, and digital channels to identify trends, sentiment, and emerging conversations. Develop and implement methodologies to measure brand perception, audience engagement, and competitive analysis. Use machine learning, natural language processing (NLP), and AI-driven analytics to extract meaningful insights from vast digital conversations. Collaborate with marketing, communications, and creative teams to turn data-driven insights into compelling strategies. Identify influencers, emerging topics, and competitive intelligence to inform strategic decision-making. Present findings through clear, compelling reports for executives and stakeholders. Qualifications & Skills Formal education in Data Science, Statistics, Marketing Analytics, Computer Science, or a related field. Proven experience in digital and social media analytics, audience research, or data-driven marketing. Expertise in social listening tools (e.g., Brandwatch, Hootsuite, Cision, Meltwater, Sprinklr, etc.) and analytics platforms (e.g., Google Analytics, Meta Insights, Twitter/X Analytics). Experience with machine learning, NLP, and AI-driven analytics is a plus. Ability to translate complex data into clear, actionable insights for non-technical stakeholders. Excellent communication skills and ability to work cross-functionally with creative and strategic teams. Passion for digital trends, consumer behavior, and the evolving media landscape. Why Join Us? Work at the intersection of data, creativity, and strategy to shape groundbreaking campaigns. Be part of a dynamic, forward-thinking team that values innovation and data-driven storytelling. If you are a data-driven storyteller with a passion for uncovering insights that fuel strategic decision-making, we'd love to hear from you! Apply Now.

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.

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

TDI Technologies, Inc. is seeking candidates for a Data Scientist position. The position's main responsibility will be to gather, format, and analyze information from Navy Hull, Mechanical, and Electrical (HM&E) systems. The position will require knowledge of machine learning methods and tools, as well as techniques such as natural language processing (NLP) and Optical Character Recognition (OCR). Candidates should be comfortable leading an engineering team, designing new software solutions, and interfacing with customers. PRINCIPAL DUTIES/RESPONSIBILITIES: 1. Develop and test software, using Python and/or Java, to provide statistical analysis for various shipboard systems. 2. Lead a team in designing software solutions and pipelines that solve our customer's data analytics challenges. 3. Prototype and demonstrate TDI Technologies' data science capabilities to perspective customers. EDUCATION AND EXPERIENCE REQUIREMENTS: 1. Bachelor of Science Degree in an engineering discipline - Computer Engineering, Electrical Engineering, Mechanical Engineering, Software Engineering or Computer Science is required 2. Fluent with scripting in Python 3. Strong management skills 4. 2-5 years of experience in a data science role SPECIAL REQUIREMENTS: 1. Successful applicants must either have an active government security clearance or the ability to receive approval upon position acceptance. 2. Must have a valid US passport or the ability to obtain one upon position acceptance. SKILLS AND ABILITIES: Essential Skills: 1. Software development in Java 2. Software development in Python 3. Experience with machine learning and/or artificial intelligence 4. Experience with at least one of the following problem types: Time-series classification, regression analysis, optimization, clustering 5. Software development and operation within Linux and Unix based systems 6. Experience managing software baselines using version control tools such as SubVersion or Git 7. Strong technical writing skills and attention to detail for documentation 8. Willingness to lead a team and convey technical problems and solutions to a variety of team members Additional Preferred Skills: 1. Experience with one or more of the following: Natural Language Processing (NLP), Optical Character Recognition (OCR), Selenium, Beautiful Soup 2. Experience with machine learning tools and frameworks, including TensorFlow, scikit-learn, Pandas, and NumPy 3. Experience with rotating machinery and/or vibrations analysis Travel: This position may require up to approximately 10% travel. Location: Philadelphia, PA Equal Employment Opportunity Policy: TDI Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layout, recall, transfer, leaves of absence, compensation and training.

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.

**Who We Are** We're powering a cleaner, brighter future. Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient. We're powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 19,000 colleagues strong serving more than 10 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco). In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career. Are you in? **Primary Purpose** **PRIMARY PURPOSE OF POSITION** Apply the scientific method to extract knowledge and insights from data, which may take the form of time-series (smart-meters, smart-grid, and other IoT), structured (relational data stores), and unstructured (text and multi-media) data sets. Train state of the art algorithmical models, including but not limited to tree-based approaches and neural networks, and implement those models into a production environment following the established MLOps approaches. Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into analytics-driven products and inform decision making. This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions. Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders. Become a subject matter expert in the areas of artificial intelligence, machine learning, feature engineering, and high-performance computing. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, and business stakeholders, and IT partners. A successful candidate will quickly adopt the team's established working processes and toolkit while growing his/her knowledge of the utilities industry. Position may be required to work extended hours for coverage during storms or other energy delivery emergencies. **Primary Duties** **PRIMARY DUTIES AND ACCOUNTABILITIES** + Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices (35%) + Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including - but not limited to - Python, R, Scala, or equivalent; Spark, Hadoop file system and others (20%) + Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans. (20%) + Provide expert data and analytics support to multiple business units (20%) + Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems. (5%) **Job Scope** **JOB SCOPE** Support business unit strategic planning while providing a strategic view on machine learning technologies. Advice and counsel key stakeholders on machine learning findings and recommend courses of action that redirect resources to improve operational performance or assist with overall emerging business issues. Provide key stakeholders with machine learning analyses that best positions the company going forward. Educate key stakeholders on the organizations advance analytics capabilities through internal presentations, training workshops, and publications. **Minimum Qualifications** **MINIMUM QUALIFICATIONS** + Bachelor's or Master's degree from a leading program in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field + 2-4 years of relevant experience analyzing multi-terabyte datasets is required (industry or academia). Previous research or professional experience applying advanced analytic techniques to large, complex datasets. Minimum of 1-2 years of professional experience in a data scientist role. + Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization. + Demonstratable experience in your analytics/statistics/visualization platform of choice, but preferably in the MS Azure suite as well as Python, SQL. Experience developing in Unix, using big data technologies like Spark, Dask, etc. + Experience working within an open source environment and Unix-based OS. + Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives. Strong oral and written communication skills. **Preferred Qualifications** **PREFERRED QUALIFICATIONS** + Hands-on experience in Power BI and Python along with an understanding of modern database structures, including Relational Database Management Systems (RDBMS) and Star Schema design + Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc. + Expert level coding skills (Python, R, Scala, etc), and experience developing in a Unix environment. + Ability to translate executive and analytics leaders vision and guidance into methods and analytics. Strong time management and presentation skills. Experience presenting to diverse audiences including presenting to conferences and business symposia. **Benefits** + Annual salary will vary based on a candidate's skills, qualifications, experience, and other factors:USD $74,400.00/Yr. - USD $111,600.00/Yr. + Annual Bonus for eligible positions: 10% + 401(k) match and annual company contribution + Medical, Dental and Vision Insurance + Life and disability insurance + Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave (based on position) + Long Term Incentive Plan for eligible positions + Wellbeing programs such as tuition reimbursement, adoption assistance and fitness reimbursement + Referral bonus program + And much more Exelon is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. If you are an individual with a disability and need an accommodation to complete the application, please email us at ********************.

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.

We know why you are reading about this opportunity. You are driven to achieve goals. You are looking to make a direct impact. You want to work in a culture where your co-workers work as part of a diverse team, communicate across departments, and have a positive attitude. If we had to guess, you are innovative with great ideas, want to bring efficiencies to processes, and are looking to grow your career. Are we right? If so, let's talk about who we are. Who We Are Greenphire is a leading provider of clinical payment and communication solutions. We provide software as a service (SaaS) to reduce costs, increase participant retention, and produce quantifiable results for our clients in the clinical trial industry. Our vibrant culture focuses on four key values: All In, As a Team, For a Purpose, Solving Problems.We are a multi-year recipient of the Philadelphia Business Journal's Best Places to Work award, and love to give shout-outs and awards to our employees. Our For A Purpose committee champions philanthropic activities throughout the year so employees can give back to our community. We have a diversity committee that focuses on breaking down barriers, recognizing that our uniqueness is what makes us so successful! DataOps Engineer Greenphire is seeking an experienced DataOps engineer to join our Data Services team in order to manage data deliveries, improve the deployment automation as well as the overall service reliability. The DataOps engineer will own the operation and troubleshooting of several data products as well as the enhancement of our cloud-based data stack as well as the enhancement of data observability and systems monitoring. The ideal candidate will work well independently as well as be a strong team member, have a continuous desire to expand and grow their knowledge and skills, and have excellent communication skills. This is a unique opportunity to work in a high growth company crossing fintech and life science where data is a key driver for the future. Responsibilities Work closely with development and data teams to deploy software releases and updates and identify and implement improvements to that process Setup and maintenance of source code repositories, workflows and pipelines as well as automation of CI/CD processes with the applicable DevOps toolset Setup of security and other scans and integrate quality test suites for the deployed applications as part of the CI/CD process Setup of data observability and application performance monitoring and alerting dashboards with the respective toolset, as well as automated health check of systems and data services Write deployment, configuration, provisioning, monitoring, and other scripts as needed in addition to the existing DevOps tools that are used Production support and troubleshooting of system/platform problems, incident management and root cause analysis Stay on top of industry best practices and trends, security and compliance requirements, and implement improvements to the existing toolset, procedures, and automation Collaboration and teamwork in an agile environment Qualifications BS/BA in technical field, Computer Science, Mathematics or relevant work experience and/or training 5 or more years of work experience as a data engineer or a DevOps engineer Hands-on experience with source code management, CI/CD and DevOps tools such as GitLab, GitHub, Jenkins, Flux, CircleCI Hands-on experience with cloud computing platforms (AWS preferred) and orchestration/ containerization technologies like Docker, Kubernetes (EKS), Helm Hands-on experience with system administration, Linux/Unix shell scripts and networking Hands-on experience with both OLTP and OLAP databases and SQL (eg Postgres / MSSQL / MySQL / Redshift / Snowflake). Experience managing and troubleshooting AWS Glue pipelines Knowledge of NoSQL databases (Elasticsearch/MongoDB/DynamoDB) is a plus Knowledge of application performance monitoring and alerts and related tools like Splunk/Sumo Logic Knowledge of Infrastructure as Code and provisioning tools like Terraform, Cloudformation Experience with streaming platforms like Kafka, Kinesis, Flink, Spark a plus Knowledge of security and compliance requirements and practices, life science background a plus Excellent analytical, problem solving and troubleshooting skills Understanding of software development (Python/Java) and code coverage/test automation suites (eg Sonarqube, Selenium, GreatExpectations) Excellent communication and team collaboration skills as well as a good understanding of Agile methodologies

We are not looking for job seekers but change makers!! As a Data Scientist Lead within our Card CX team, you will leverage your deep expertise in building data-promoten solutions and extracting insights from big data environments. You will partner with senior leaders across the Card business to deliver high-impact analytics supporting Card CX. This role is a mix of consulting know-how and hands-on proficiency in analytics, SQL programming, and visualization methods and technologies. You will establish strong partnerships, demonstrate strong analytical ability, and lead the execution of multiple Card CX analytics and data science initiatives. You will also be a trusted advisor and thought leader, providing recommendations on analytics best practices, methods, and tools for analytical work. Your role will also involve supporting recruiting and interviewing efforts to find and hire the best and diverse talent for Chase. Job Responsibilities: Establish strong partnerships with our stakeholders across Card CX to align on and execute on the CX analytics roadmap Demonstrate strong analytical ability through understanding and implementation of various analytical and statistical techniques to answer high-priority business questions Coordinate and lead the execution of multiple Card CX analytics and data science initiatives, working closely with various analytics teams. Act as a project lead and contribute as an individual contributor where needed. Be a trusted advisor and thought leader by providing recommendations on analytics best practices, methods and tools for analytical work in order to identify most impactful opportunities for enhancing customer experiences Support recruiting and interviewing efforts to find and hire the best and diverse talent for Chase Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior Required qualifications, capabilities and skills: Bachelor's degree in relevant quantitative field required. 3+ years of hands on experience within marketing, finance, data science or risk analysis; experience evaluating complex business problems, data analysis and devising recommendations and analytics to solve those business problems. Experience in managing stakeholders and a proven track record of driving value for the business. Thought leader in analytics who can help our internal clients define their business problem, create solutions to address it, and deliver those solutions. Proficiency in, or relevant exposure to, the breadth of project management and analytics, including data engineering & infrastructure to higher order modeling, including ML/AI models and end-to-end delivery of analytical solutions. Experience across a broad range of modern analytics tools (e.g., Snowflake, SAS, SQL, Spark, Python, Tableau, Alteryx) Excellent communicator who is able to convey complex information in an understandable, compelling, and persuasive manner to non-technical clients and executives and junior data scientists. Intellectually curious and self-driven to understand business domains and their data. Preferred qualifications, capabilities and skills: Understanding of the key drivers within the credit card P&L is preferred. Financial services background preferred, but not required. advanced degree preferred (MS/PhD).advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields).

Data Scientist - Digital & Social Media Analytics Job Type: Freelance/Contract About the Role We are seeking Data Scientists - to uncover powerful insights that drive strategic marketing and communications initiatives. This role requires a deep understanding of digital and social media analytics, with the ability to track and analyze conversations across all social platforms, blogs, forums, and digital media to identify key trends, sentiment, and audience behaviors. Important to be able to translate complex data into actionable insights that inform high-impact campaigns, enhance brand positioning, and shape storytelling strategies. The ideal candidate is highly analytical, strategic, and passionate about leveraging data to drive engagement and results. Key Responsibilities Track, collect, and analyze data across social media platforms, blogs, forums, and digital channels to identify trends, sentiment, and emerging conversations. Develop and implement methodologies to measure brand perception, audience engagement, and competitive analysis. Use machine learning, natural language processing (NLP), and AI-driven analytics to extract meaningful insights from vast digital conversations. Collaborate with marketing, communications, and creative teams to turn data-driven insights into compelling strategies. Identify influencers, emerging topics, and competitive intelligence to inform strategic decision-making. Present findings through clear, compelling reports for executives and stakeholders. Qualifications & Skills Formal education in Data Science, Statistics, Marketing Analytics, Computer Science, or a related field. Proven experience in digital and social media analytics, audience research, or data-driven marketing. Expertise in social listening tools (e.g., Brandwatch, Hootsuite, Cision, Meltwater, Sprinklr, etc.) and analytics platforms (e.g., Google Analytics, Meta Insights, Twitter/X Analytics). Experience with machine learning, NLP, and AI-driven analytics is a plus. Ability to translate complex data into clear, actionable insights for non-technical stakeholders. Excellent communication skills and ability to work cross-functionally with creative and strategic teams. Passion for digital trends, consumer behavior, and the evolving media landscape. Why Join Us? Work at the intersection of data, creativity, and strategy to shape groundbreaking campaigns. Be part of a dynamic, forward-thinking team that values innovation and data-driven storytelling.

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.