Data Scientist Jobs in West Haven, CT

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $123,000.00 - $203,000.00 Target Openings 1 What Is the Opportunity? As a member of Enterprise Technology Services, you'll be joining a strategic and collaborative Architecture team that is passionate about transforming our business and technology capabilities and paving the way for best-in-class solutions. As an Architect within the Business Insurance architecture organization, you will collaborate with Engineers, Technology and Business leaders and apply your knowledge of modern technology to influence and innovate solutions that impact the business. In this role we will look to you to: • Collaborate with Enterprise Architects, Business Architects, Line of business engineers and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR, DataBricks and Snowflake. • Help us to build solutions by delivering on technical engagements with partners and customers. • Partner with cloud and security architects, data and software engineers to implement cutting-edge but pragmatic solutions that will enable business outcomes using a combination of deep technical skills, business acumen, and strong interpersonal skills. • Help the program team to deliver by leveraging cloud native and enterprise approved cloud tools and technologies. • Help in engagements to migrate applications and datasets to AWS cloud. • Innovate by working with the customer's business and technology stakeholders. • Create a compelling vision of a data-driven enterprise for Business Insurance. • Guide through your hands on experience leading large-scale global data lake/warehousing and analytics projects. • Guide delivery organization for modeling and standardizing the data for analytics. • Help to establish governance and control processes to ensure successful and healthy data platform implementation. What Will You Do? Build implementation patterns using your expertise and background on AWS cloud natives capabilities such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Snowflake. Deliver solutions on technical engagements with partners and customers. Perform Proof of Concept/s on technologies and services to support business needs. Share learnings from your past large-scale global data lake/warehousing and analytics projects. Collaborate effectively across organizations. Educate and choose right types of datastores for the use case (NoSQL, SQL databases, Object File stores, etc.) Create blue prints and assist in engineering designs leveraging AWS Serverless and data services. Exhibit customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs and best practices. Interact with different levels of the organization from development to C-Level executives Ensure data standards and modeling principles are followed in the data solutions and platforms. Manage and Monitor the data quality of the content in the data architecture and platforms. Balance tactical vs strategic trade-offs when making decisions or proposing solutions. What Will Our Ideal Candidate Have? Bachelor's in technology related field or equivalent with 5+ years of technology Engineering experience Hands on experience with DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR, Snowflake, NoSQL, SQL databases, Object File stores, etc.) Organizational experience in an agile operating model Established work in proof of concepts and technology Strong proven Software Engineering experience Supports technology target state, roadmaps that aligned to Short- and Long-term business goals Insurance technology experience desired Strong grasp of value creation and business capability models Innovation and Continuous Improvement Must be passionate about technology transformations Has hands on experience in the last 3 years Executed technology modernization initiatives including migration to cloud native and API Strategy Current experience with AWS, APIs, accelerators, DevSecOps Cloud Architecture Certification (AWS, GCP, or Azure) or strong architecture experience on Cloud Good understanding of security Experienced with large scale technology platforms Exposure and understanding of advanced analytics techniques using ML and AI Hands on experience with data technologies on cloud What is a Must Have? Bachelor's degree or its equivalent in work experience. Five years of experience in engineering software or analytic applications within a line of business area What Is in It for You? Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ********************************************************* 0

Lead Data Engineer, Data ReliabilityJob ID 10103077 Location Santa Monica, California, United States / Bristol, Connecticut, United States / San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United States Business Disney Entertainment & ESPN Technology Date posted Jan. 21, 2025Job Summary: On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. We seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. Assist in designing and developing a platform to support incident observability and automation. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure. Build solutions to continually improve our software release and change management process. Minimum Qualifications: 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake. Expertise with common Data Engineering languages such as Python, Scala, Java, SQL. Experience with workflow orchestration tools such as Airflow. Deep understanding of end-to-end pipeline design and implementation. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. #DISNEYTECH #J-18808-Ljbffr

Role: Data Modeler/Analyst Must have ETL design experience. They need to have designed ETL, process and architecture, ER Studio, Data modeling etc. Focused on the ETL design experience and strong data modeling. Qualifications: • Computer or Information Science or equivalent field • DAMA Data certifications a plus • 10+ years of experience in data modeling, database design, and data architecture. • Experience in Commercial Finance domain and worked on at least 2 projects and understand critical domain terminology. • Proficient in Data Lineage / Modeling tools (ER Studio). Informatica toolsets including Data Archive, EDC, Oracle database. • Expert understanding of Data Warehouse design for high volume processing and performance. • Knowledge of Business Intelligence tools utilization including Tableau, and/or Microsoft Power BI. • Bachelors or Master's degree specialized in areas related to Information and Data management and Design. • 10 years of deep data modeling and architecture experience • Data modeling, Data lineage, Data standards • In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. • More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns. • Experienced in working with different data modeling techniques including dimensional, data vault. • Experienced in working with Azure SQL Server and must be aware of Datawarehouse and Data Lake concepts thoroughly. • Experience in Databricks, ADF is preferable. Responsibilities: Design, develop, and enforce data models and naming standards across all deliverables. Reverse and forward engineer Business legacy data models. Effectively communicate the technical data integration requirements, design, and decisions that support the functional needs of Data Engineering to both IT and Business members via verbal or documentation. Reduce data redundancy consolidation, transformation, and training of Business and IT members. Design and develop data lineage with / without pre-existing documentation. Create and maintain current and target state data integration models and flows. Reverse and Forward engineer Business data models to the level needed for business Analytics usage. Develop an understanding of Business processes and the corresponding system architecture in order to determine Source system(s) of required data, data relationships, and impacted integrations. Partner with the Business Intelligence teams in defining the end state reporting goals and/or dashboard requirements. Design and develop Data models and solutions required to meet them. Ensure Design documentation includes appropriate Business rules and facilitates data Security, Quality, Lineage, and Harmonization. Support testing and deployment activities as required. Assist in developing and then meet agreed-upon deadlines and perform other project duties as assigned. Single point of contact for data related questions, and quality. Communicate technical and non-technical information clearly, concisely, and effectively both orally and in writing. Present findings, recommendations, and specifications in formal reports and/or oral presentations to both Business and IT Teams.

Fiducient Advisors provides tailored and personalized investment consulting services to clients such as retirement plan sponsors, endowments and foundations, private clients, and financial institutions. We operate with over 200 professionals nationwide, supporting our distinct purpose of helping clients prosper. The Consulting Analyst is responsible for working closely with Investment Consultants. The Consulting Analyst contributes directly to a superior client experience through thoughtful and accurate analysis of the firm's Defined Contribution client portfolios, aligning with our mission of helping clients prosper. The target time to start for this role is Summer 2025. Responsibilities: Proactively lead portfolio evaluation/diagnostic review effort for new clients, cross-collaborating with multiple teams at the firm Evaluate and construct investment policy statements consistent with clients' investment objectives, risk tolerance, and investment restrictions Analyze asset allocation structure of client portfolios, including modeling and portfolio optimization analysis Collaborate with Investment Research in developing solutions for client portfolios Develop fiduciary governance materials in preparation for quarterly reporting Analyze and create customized components for client reports and supplemental meeting materials as needed Analyze and create plans for implementing investment decisions, portfolio reallocations, and rebalancing, and monitor and respond to ongoing recurrent needs of clients Collaborate with Performance Analytics and Client Services in developing optimal reporting solutions for clients Issue and evaluate vendor Request for Information (RFIs) or Request for Proposals (RFPs) and prepare related analysis and deliverables Respond to periodic audit requests for investment-related data and analysis Conduct special ad-hoc analyses and projects as needed to support Investment Consultants Interact with and proactively communicate with Investment Consultants on all client matters and related projects Attend and present at client meetings in a supporting role on occasion Respond to all meeting follow-up and action items in a timely and effective manner Maintain accurate client account and investment records in the CRM Respond to client and vendor requests in a timely and effective manner Required Education, Professional & Technical Experience Bachelor's Degree required with a preferred concentration in Economics or Finance Entry-level experience welcome Proficiency in Microsoft Suite Previous experience with CRM, custody portals, and asset allocation modeling software is a plus CFA candidate is a plus Knowledge of capital markets, including domestic and foreign equity, fixed income, and alternative investments Intellectual curiosity about investments, asset allocation, and portfolio structure Fundamental knowledge of retirement plan (Defined Benefit and Defined Contribution) and nonprofit client marketplaces Ability to multi-task and prioritize under tight deadlines Driven professional with a positive attitude and adaptable Proven ability to work independently and engage within a team structure Essential Traits Thoughtful ability to establish rapport and build relationships. Exceptional communication in a public setting with notable writing and presentation skills. Adaptability when priorities shift and able to work independently. Sound judgment and problem-solving skills. Innovative, curious, and enthusiastic. Detail-oriented with a high level of accuracy and organization. Ability to cultivate and develop inclusive and equitable working relationships to support a sense of belonging. Passionate about working in an organization that values and promotes diversity, equity, inclusion, and anti-racism. Work Environment & Travel Requirements This role may travel up to 10% of the time for training and or business/events. This role offers a hybrid work model with three days in one of our professional office environments and two days remotely. Physical Job Expectations The physical job expectations described here are representative of those that must be met by an associate to successfully perform the essential functions of this job: Must be able to remain in a stationary position for up to 8 hours. Constantly operate a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer. The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information. The person in this position may at times need to move throughout the building to access different areas. Ability to move equipment weighing up to 25 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform their primary responsibilities. What We Offer (Summary Highlights) A workplace that welcomes authenticity and practices acceptance for what makes each of us different. We are committed to educating our team, growing as a firm, and taking intentional actions related to diversity, equity, belonging and inclusion. We strive to be active participants of change in and outside our industry. The base salary range for this position is $65,000-$85,000. The base salary offered will be determined by factors including, but not limited to, experience, credentials, education, certifications, skill level required for the position, the scope of the position, and geographic location. Actual base salary offered will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. Paid Time Off Generous PTO with optional rollover Personal/Sick Time 10 Holidays with additional half days off for specific holidays throughout the year Summer Perks Bereavement Time -inclusive time off for a loved one, unborn child, or pet. Employer Paid Parental, Personal and Family leaves. Professional Development Day for eligible exams Work Life Convenience Benefits Exclusive Wellness Benefit Programs from VirginPulse, Care.com, Torchlight, Real Appeal, Peloton and more KindBody - Family & Fertility Assistance Wellness Reimbursement Program Professional Development Designation reimbursement Employee Referral Program Employee Resource Groups, Mentorship Program & New Hire Cohort 401K Plan with company match Cell Phone Reimbursement Program Fiducient Advisors is a CFA Institute DEI Signatory. As a signatory, we commit to six Code Principals that seek to drive DEI progress in a meaningful way that can be measured. The six principles focus on pipeline, talent acquisition, promotion and retention, leadership, influence, and measurement. Fiducient Advisors is an Equal Opportunity Employer that provides equal opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, genetic predisposition or carrier status, or any other characteristic protected by federal, state, or local law. The company is committed to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. It is expected that all employees are aware of this policy and that they create an environment that is sensitive and respectful to all individuals. We are committed to upholding a workplace that welcomes authenticity and practices acceptance for what makes each of us different. We are committed to educating our team, growing as a firm, and taking intentional actions related to diversity, equity, equality, belonging and inclusion. We strive to be active participants of change in and outside our industry.

Yale University offers exciting opportunities for achievement and growth in New Haven, Connecticut. Conveniently located between Boston and New York, New Haven is the creative capital of Connecticut with cultural resources that include three major museums, a critically acclaimed repertory theater, state-of-the-art concert hall, and world-renowned schools of Architecture, Art, Drama, and Music. General Purpose: The Yale/Yale New Haven Hospital Center for Outcomes Research and Evaluation (CORE) is a leading national outcomes research center dedicated to transforming healthcare for the betterment of people and society by leveraging data, analytics and technology. We have assembled a talented, multidisciplinary group who are committed to developing solutions to the practical needs of medicine and healthcare. Our organization combines the highest academic ideals with a pragmatic approach that emphasizes the production of useful knowledge. We are distinguished by our creativity, dedication, experience and skills - and our commitment to having our work make a tangible difference to patients, the public and society. Essential Duties: Develops operational procedures for collection, editing, verification, and management of statistical data Develops and implements relevant statistical programs to incorporate data from multiple projects Designs comprehensive relational databases with working knowledge of the scientific applications impacting on the data analysis and reporting Assists faculty and other research professionals with the formulation and description of appropriate statistical methods Evaluates research studies and recommends statistical procedures to analyze the data Carries out comprehensive statistical analysis for a broad spectrum of types of data and types of studies Integrates the research methodologies of multiple projects into bio-statistical analyses Prepares reports summarizing the analysis of research data, interpreting the findings and providing conclusions and recommendations Presents talks, seminars, or other oral presentations on the methodology and analysis used in scientific studies Assists investigators in preparation of research grant applications by writing research methods sections pertaining to acquisition, analysis, relevance and validity of data Participates in the preparation of manuscripts that are submitted for peer reviewed publication May supervise and provide training for lower level or less experienced employees Required Education and Experience: Master's degree in Biostatistics, Statistics, or relevant field. Four or more years of experience, or an equivalent combination of education and experience. Required Skills and Abilities: Coursework in longitudinal data analysis, including survivorship methods and random effects models Advanced knowledge and related work experience utilizing SAS programming (SUDAAN, BUGS, S+, MSAccess) in longitudinal research investigations and biostatistical data analysis. Proficiency in fitting generalized linear models and mixed models Well-developed analytical, organizational, oral and written communication skills Ability to work with investigators having differing clinical and epidemiological backgrounds Reliable, professional and flexible. Preferred Education, Experience, and Skills: PhD degree preferred Publishing history as co-author and primary data analyst Proficiency in work with Medicare databases, with specific experience with CMS National Quality Improvement Project databases We invite you to discover the excitement, diversity, rewards and excellence of a career at Yale University. One of the country's great workplaces, Yale University offers exciting opportunities for meaningful accomplishment and true growth. Our benefits package is among the best anywhere, with a wide variety of insurance choices, liberal paid time off, fantastic family and educational benefits, a variety of retirement benefits, extensive recreational facilities, and much more.

Utilize the latest tools & technologies in your field. A well-establish life insurer is in search of a Senior Actuarial Consultant. In this role, you will be responsible for financial reporting & valuation of the retail FIA product, including model testing, control development, & management reporting. (#56828). Requirements: Bachelor's Degree. ASA designation. 5+ years of experience in actuarial valuation & Fixed Indexed Annuities. Familiarity with actuarial valuation, modeling, and GGY Axis modeling software. Excellent communication and interpersonal skills. Results-oriented and able to work under tight deadlines in a high- performance environment. Compensation: Salary range up to $150K. Locations: Hartford, CT Hybrid

*** How much experience do you have as a Data Analyst/Scientist or related? *** How much experience do you have writing scripts in SQL or Python? *** What is your visa status (US Citizen, Greencard Holder, H1-b, etc.)? *** What is your target base salary? *** Where do you currently live (city, state)? *** Are you able to work onsite in Brewster, NY? *** What is your availability to start a new role?

AmTrust Financial is seeking a Senior Actuarial Analyst to participate in pricing and other actuarial research and development projects. Experience in pricing of commercial lines is preferred. AmTrust is an innovative, customer-centric organization. We are looking for someone who will add skillsets to our team in driving results. Ideally, this person will have experience making creative methodology changes, driving a process to a conclusion while meeting critical deadlines and/or independently improving team workflow. Responsibilities: Independently analyze segments of commercial liability lines for profitability and trends Work closely with Underwriting, IT and Compliance departments Provide formal written communication and documentation of analyses Actively participate in discussions where recommendations are presented to the business. Monitor changes agreed to in the meetings via actively maintained data visualization dashboards. Work on actuarial research projects regarding pricing and planning Serve as a subject matter expert on pricing and rate development Complete state filings, including pulling together rate impacts, state exhibits and answering objections Qualifications: Bachelor's degree in mathematics, actuarial science, or financial related field preferred Three to five years of actuarial experience Actively pursuing exams Understanding of insurance, underwriting, pricing, reinsurance, sales, and financials Ability to critically problem solve and use business knowledge in developing solutions Superior written and verbal communication skills Adept with programming languages / software such as R, SQL, Python, SAS and/or other statistical programming languages. Working experience with R and SQL strongly preferred Advanced knowledge of Microsoft Excel Ability to work with people from diverse backgrounds and with diverse skillsets

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job CategoryData ScienceCompensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range$129,200.00 - $213,200.00Target Openings1What Is the Opportunity?Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As a Data Scientist, you will work with business partners to tell the story using data by identifying challenges and opportunities for data analysis and experiments. You will build models that solve key business challenges and enhance our customer experience. This role will support Text AI/Gen AI work portfolio. Responsibilities include experimentation of new GenAI capabilities in context of Business Insurance problems, collaborating with partners across technology in build out scale of GenAI solutions, and partner with Analtyics & Research colleagues to understand their needs/brainstorm new capabilities unlocked in GenAI space.What Will You Do? Assist in design and development of analytical solutions. Share knowledge with the community through discussions, presentations, or peer reviews. Begin to set and manage expectations with business partners for small projects, and with guidance, identify potential conflicts and build consensus. Communicate analysis, insights, and results to manager, peers and business partners and with guidance, tailor communication to the audience. Become a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for intern recruiting and talent assessment efforts. Support various training and skill development initiatives Perform other duties as assigned. What Will Our Ideal Candidate Have? Masters in STEM related field or equivalent 3 years of related experience Strong working knowledge of modeling/ research/analytics or actuarial required Relevant statistical analysis work experience required Strong Knowledge of statistical techniques with the ability to read/revise/ review statistical software programs Ability to develop models and interpret model results Understanding of advanced statistics underlying data models Ability to apply emerging statistical procedures to work Strong knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus two years of experience or any suitable and equivalent combination of education and work experience. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

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.

We are seeking a dynamic and experienced data-scientist / analyst to lead the delivery of insights, analysis, and alerting on trends and the underlying causes of quality-of-service and service-rate fluctuations in our Internet and Video products. This role plays a critical part in helping Charter consistently deliver high-quality, reliable connectivity by promptly identifying issues related to network equipment, configuration, maintenance, and other controllable factors, while also accounting for non-controllable elements such as usage and weather conditions. The insights generated will guide internal stakeholders and leadership in driving resolutions for identified issues. This role requires applying a wide range of analytic techniques, from simple crosstabs to state-of-the-art AI/ML algorithms to measure the causal impact of drivers. In particular, we are expanding our approaches and techniques to include the fast-developing field of Causal AI, in order to precisely measure the impact of issue-drivers and estimate the potential impact of different interventions to fix these drivers. These techniques will be applied against a set of large and growing data - over 30 million rows of 100 columns per day and growing. Compute resources will include high-end relational data warehouse and cloud-based GPU-heavy compute for AI/ML. This role will be considered an intellectual co-owner of the algorithms and methods used to derive causal insights from observational data. In addition to these deep technical skills, this role will be the lead applied analyst on the team, responsible for reviewing work product, providing constructive and coaching feedback to junior team members, and delivering key results to senior stakeholders in a clear, polished, and professional manner. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise. MAJOR DUTIES AND RESPONSIBILITIES * Actively and consistently support all efforts to simplify and enhance the customer experience. * Plan and lead the complete analytics lifecycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization. * Leverage consultative experience delivering insights on large, structured data to senior operational executives with strong communications skills (verbal, written PowerPoint). * Perform mid-level and advanced analytics using a range of techniques from basic (pivot table) to advanced (Causal AI tools and models). * Troubleshoot, debug, solve problems where the analytic approach, model, or tool the algorithm is not performing as well as needed, and lead the exploration of vendors in the marketplace that can meet this need, enabling buy versus build. * Participate in reviewing vendor tools and products that might be fit for our needs; consistently keep up-to-date in the latest market and academic developments in Causal AI. * Plan effectively to ensure analytics products are flexible, modular, and contain reusable code base. * Identify future technical needs of assigned projects to continue to grow capabilities of organization. * Coordinate technical activities across projects and the organization. WHAT YOU'LL BRING TO SPECTRUM Required Qualifications Required Skills/Abilities and Knowledge * Ability to read, write, speak and understand English. * Advanced-level skills in one or more scripting, analysis, or ETL languages, ability to readily read and adapt others' code, and ability to rapidly learn new languages or techniques. * Expert-level skills and experience with analysis language such as R and/or Python (including relevant packages) in support of advanced analytics. * Comprehensive experience and theoretical foundation of the properties of the major families of machine learning models (regression, decision trees, clustering, SVMs, neural networks). * Experience with modern machine learning technology and tools in order to produce model scoring code. * Basic background (awareness) and strong interest in further developing expertise in Causal AI techniques, e.g., Paradoxes and blunders that result from lack of causal awareness, structural causal models, causal graphs, causal discovery, and causal inference. Recent ability to keep abreast of the latest developments in this field, via regular review of published work (books and papers) in this field on these topics. * Command of advanced mathematical concepts including calculus, PDEs, probability, and statistics, and the ability to independently learn any necessary additional concepts. * Effective synthesis and presentation skills. * Ability to communicate results and recommendations to a wide variety of audiences including executive leadership. * Understanding of data architecture, data warehouse and data marts. * Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document. * Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services. * Program, product, or project management experience delivering analytics results. * Comprehensive background in Linux/Unix/CentOS or Windows installation and administration. * Ability to identify and resolve end-to-end performance, network, server, cloud, and platform issues. * Pattern recognition and predictive modeling skills. * Effective attention to detail with the ability to effectively prioritize and execute multiple tasks. Required Education Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience Required Related Work Experience and Number of Years * Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 8 years * Python/SQL/ or R/SAS Programming - 8 years * Lead the design, develop and deployment machine learning and analytics models - 3+ years PREFERRED QUALIFICATIONS Preferred Skills/Abilities and Knowledge * Experience with Hadoop, HIVE, SPARK, and/or Snowflake * Strong basic analytics skills in SQL, Excel * Tableau and Python a plus Reading, merging, and drawing from research papers, finding the right path forward, local R&D on techniques, and implementing in practice * Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux Knowledge of other relevant techniques such as text analysis and text mining * Operations-research background, in particular focused on large labor operations such as field ops, technical support, and sales * Background with cable and/ or telecommunications Preferred Education Master's degree in related field (ML / AI / DS) WORKING CONDITIONS * Office environment * Charter Technical Engineering Center * Highly collaborative and innovative work space * Occasional Travel #LI-LB1 BDA630 2024-42177 2024 Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet, TV, Mobile and Voice, Spectrum Networks, Spectrum Business and Spectrum Reach. When you join us, you're joining a strong community of 95,000 employees working together to serve nearly 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. Who You Are Matters Here We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. Apply Now

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 Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). **What You'll Do** Staff Data Scientist will be responsible for: + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff + Mentoring junior data scientists on the team **Your Skills & Abilities (Required Qualifications)** + Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field + Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus + Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages + Experience withcloud compute platforms such as Azure with Databricks experience being especially valuable + 10+ 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 + Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, 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, media mix modeling (MMM), multi-touch attribution (MTA) + Prior experience with CRM, paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Compensation: + The expected base compensation for this role is: $160,200- $285,300. 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.

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 (***************************************************************************************************************************

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $123,000.00 - $203,000.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate stories found in data by leveraging a variety of data programming techniques. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. What Will You Do? Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions. Design complex data solutions Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment. Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate. Test data movement, transformation code, and data components. Leverage Databricks for data engineering tasks, including building and managing data pipelines, optimizing data processing workflows, and utilizing Databricks' collaborative features for team-based projects. Utilize Databricks' capabilities for distributed computing to enhance data processing efficiency and scalability. Implement and manage data solutions using Databricks for optimized data storage and retrieval. Experience with Databricks' integration with cloud platforms (e.g., AWS) for seamless data operations. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor's Degree in STEM related field or equivalent Eight years of related experience Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices. The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs. Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems. Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues. Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners. Ability to lead team members and help create a safe environment for others to learn and grow as engineers. and a proven track record of self-motivation in identifying opportunities and tracking team efforts. What is a Must Have? Bachelor's degree or equivalent training with data tools, techniques, and manipulation. Four years of data engineering or equivalent experience. What Is in It for You? Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ********************************************************* 0

P&C Pricing Assistant Actuary opening in CT or NY. Assist Underwriters on assessing and pricing large accounts for both Property and Casualty lines, including Commercial Auto, General Liability, and Workers Compensation; perform rating tool parameterization using R, Python, Excel, VBA, and/or Power BI. Ideal candidate is pre-ACAS or ACAS with 2+ years of experience in either reinsurance pricing, large account pricing, or primary Commercial lines pricing. (PR12861A)

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job CategoryData ScienceCompensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range$87,400.00 - $144,400.00Target Openings5What Is the Opportunity?Innovative thinking, creative problem-solving, and a determination to challenge the status-quo. These are some of the defining qualities for participants of our Data Science Leadership Development Program (DSLDP). This three-year rotational program is designed to grow and develop your data science and self-leadership skills. Each rotation will consist of a combination of hands-on experience, access to a robust Data Science curriculum, and a formal mentoring program to prepare you for a dynamic career. You will have the opportunity to explore multiple functions of analytics while learning from different leaders within Travelers. Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As an Associate Data Scientist, you will assist in analyzing data sources to generate actionable insights and solutions that will enhance our customer experience. You will use your developing technical and business knowledge to build models that solve key business problems.What Will You Do? The program is multi-faceted and offers a data science curriculum focused on analytics, insurance, strategy, leading self and influencing others. Other program components include formal mentoring, networking and career guidance. DSLDP participant duties will vary based on the specific rotation. You will: Perform tasks to support the development of analytical solutions following defined processes. Learn domain and business knowledge to perform assigned steps to build statistical models. Communicate analysis, insights, and results to manager and working team. Develop your understanding of key business areas (e.g., product, enterprise, industry, claim process and competitors) that enable project work. Perform other duties as assigned. What Will Our Ideal Candidate Have? Masters in STEM related field or equivalent: Basic working knowledge of modeling/research/ analytics or actuarial required Knowledge of statistical techniques with the ability to learn statistical software programs Execution focused with the ability to complete assigned steps to support developing advanced models You will develop your understanding of advanced statistics underlying data models Ability to apply statistical procedures to work as directed Developing knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results. Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making. Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands. Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients. Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility. Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude. Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position. Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives. Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results. Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result. Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn. What is a Must Have? Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field or any suitable and equivalent combination of education and work experience. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. Legally authorized to work in the United States now and in the future. What Is in It for You? Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

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. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 8. 4+ 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:** $145,000/year to $204,000/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.

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $106,300.00 - $175,400.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. What Will You Do? Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions. Design data solutions. Analyze sources to determine value and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Collaborate within and across teams to support delivery and educate end users on data products/analytic environment. Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate. Test data movement, transformation code, and data components. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor's Degree in STEM related field or equivalent Six years of related experience Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices. The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions. Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on. Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems. Strong verbal and written communication skills with the ability to interact with team members and business partners. Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities. This role will focus on Data and AI product implementation for underwriting and operations models. We will be building and supporting new products to support our day to day risk management and operations. Python, AWS, Databricks, Snowflake, SQL, Docker, Terraform, Git Actions What is a Must Have? Bachelor's degree or equivalent training with data tools, techniques, and manipulation. Four years of data engineering or equivalent experience. What Is in It for You? Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ********************************************************* 0