Data scientist jobs in New Haven, CT - 195 jobs

Data Engineer Check below to see if you have what is needed for this opportunity, and if so, make an application asap. - Data Integration, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US: Manage the end-to-end delivery of data migration projects, implementing ETL/ELT concepts and leveraging ETL tools such as Informatica and DataStage, and cloud platforms like Google Cloud. Design and build end-to-end data pipelines to extract, integrate, transform, and load data from diverse source systems into target environments such as databases, data warehouses, or data marts. Collaborate with clients to define data mapping and transformation rules, ensuring accurate application prior to loading. Normalize data and establish relational structures to support system migrations. Develop processes for data cleaning, filtering, aggregation, and augmentation to maintain data integrity. Implement validation checks and data quality controls to ensure accuracy and consistency across systems. Create, maintain, and optimize SQL procedures, functions, triggers, and ETL/ELT processes. Develop, debug, and maintain ETL jobs while applying query optimization techniques - such as indexing, clustering, partitioning, and use of analytical functions - to enhance performance on large datasets. Partner with data analysts, data scientists, and business stakeholders to understand requirements and ensure delivery of the right data. Capture fallouts and prepare reports using Excel, Power BI, Looker, Crystal Reports, etc. Perform root cause analysis and resolution. Monitor and maintain pipelines to ensure stability and efficiency of data pipelines through regular monitoring, troubleshooting, and performance optimization. Maintain thorough and up-to-date documentation of all data integration processes, pipelines, and architectures. Analyze current trends, tools, and technologies in data engineering and integration. Utilize: Google Cloud Platform (Google Big Query, Cloud Storage, Google Looker), Procedural language/Structured Query Language (PL/SQL), Informatica, DataStage, Data Integration, Data Warehousing, Database Design / Modelling, Data Visualization (Power BI/ Crystal reports). Required: Master's degree or equivalent in Computer Science or related (employer will accept a bachelor's degree plus five (5) years of progressive experience in lieu of a master's degree) and one (1) year of experience as a Data Engineer or related. One (1) year of experience must include utilizing Google Cloud Platform (Google Big Query, Cloud Storage, Google Looker), Procedural language/Structured Query Language (PL/SQL), Informatica, DataStage, Data Integration, Data Warehousing, Database Design / Modelling, Data Visualization (Power BI/ Crystal reports). $167835 to $216700 per year. Please send resumes to Applicants must reference D185 in the subject line. xevrcyc JobiqoTJN. Keywords: Data Engineer, Location: NORTH CASTLE, NY - 10504

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do * Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. * Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails. * Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery * Leverage statistical and machine learning techniques to extract actionable insights from client retention data. * Develop customer churn prediction models that proactively identify at-risk clients, * Build tools to process structured and unstructured data * Engineering features and signals to train ML model from diverse data collection What you'll need * BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) * 4 years' experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects * Minimum 4+ years of experience in python coding and statistical analysis * Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are * A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge. * Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies. * Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented. * Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer * A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too. * Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at or by sending an email to #LI-Hybrid #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 98,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at or by sending an email . Job Requisition ID:106172 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Role: GCP Data Engineer Must Have Skills: 7+ Years of experience with GCP , Python , Pyspark , SQL GCP Services - Bigquery , Dataproc , Pub/sub , GCP Dataflow. The client will take - Coderpad interview so Python coding is strongly required here.

Data Solutions Intern For the high reaching rising senior seeking a dynamic internship experience, Aon is offering a unique opportunity as a Data Solutions Intern. In this role within Aon's Rewards Solutions practice, you'll collaborate with McLagan, working extensively in financial services compensation surveys and consulting. Dive into empowering global financial firms, asset managers, insurers, banks, and wealth management companies. More information about Aon Rewards Solutions is available at en-us/. Available Locations: Norwalk, CT Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like Researching and analyzing competitive compensation practices Crafting tailored programs for diverse client needs Hands-on involvement in data analysis and strategic recommendations Engaging in diverse projects across high-growth industries How this opportunity is different 10-week paid program across various U.S. offices Engage in challenging client projects Access to weekly global roundtables with leaders Personalized one-on-one internship mentoring Continuous formal and informal feedback Social outings and community service activities Skills and experience that will lead to success Minimum cumulative GPA of 3.0 Great teammate with independent work capability Involvement in extracurricular activities Proficiency in Microsoft Office Suite Desire to learn and embody Aon's values: integrity, client commitment, and community dedication Critical thinking, problem-solving, and analytical skills Qualifications Rising seniors graduating between December 2026 - June 2027 with a minimum cumulative GPA of 3.0. *Please note: immigration sponsorship not available for this role. What sets our Summer Internship Program apart from the rest? Explore Aon's culture and business areas, developing practical skills vital for your future success and postgraduate opportunities. Engage in weekly spotlights, community outreach events and networking opportunities with peers, fostering an understanding of exceeding client expectations and delivering distinct products and services. Development Planning Participate in a comprehensive development plan that includes deeply understanding Aon's business areas, ethical standards, professional environment, networking opportunities, learning internal systems, and honing interpersonal and team-building skills through collaboration events and colleague networking opportunities. Future Opportunities The Aon Summer Internship Program offers meaningful exposure to Aon, preparing interns for short-term and long-term career opportunities. Outstanding interns may receive offers to join Aon's Launch Program, an early careers development opportunity, upon graduation. How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognize that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working! The salary range for this position (intended for U.S. applicants) is $25.00 - $28.00 hourly. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. Aon offers a benefits package for temporary and seasonal employees who will work 20 or more hours per week including: medical, dental, and vision insurance at the employee's expense, critical illness insurance, 10 Company holidays per calendar year (paid, if eligible), paid sick leave as provided under state and local law, and a 401(k) savings plan with employer contributions. Eligibility for benefits are governed by the applicable plan documents and policies. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply. We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. #AonInternUS #LI-SC3 2571951

About the Role We believe that the best decisions are backed by data. We are seeking a curious and analytical Data Scientist to champion our data -driven culture. In this role, you will act as a bridge between technical data and business strategy. You will mine massive datasets, build predictive models, and-most importantly-tell the story behind the numbers to help our leadership team make smarter choices. You are perfect for this role if you are as comfortable with SQL queries as you are with slide decks. ### What You Will Do Exploratory Analysis: Dive deep into raw data to discover trends, patterns, and anomalies that others miss. Predictive Modeling: Build and test statistical models (Regression, Time -series, Clustering) to forecast business outcomes and customer behavior. Data Visualization: Create clear, impactful dashboards using Tableau, PowerBI, or Python libraries (Matplotlib/Seaborn) to visualize success metrics. Experimentation: Design and analyze A/B tests to optimize product features and marketing campaigns. Data Cleaning: Work with Data Engineers to clean and structure messy data for analysis. Strategy: Present findings to stakeholders, translating complex math into clear, actionable business recommendations. Requirements Experience: 2+ years of experience in Data Science or Advanced Analytics. The Toolkit: Expert proficiency in Python or R for statistical analysis. Data Querying: Advanced SQL skills are non -negotiable (Joins, Window Functions, CTEs). Math Mindset: Strong grasp of statistics (Hypothesis testing, distributions, probability). Visualization: Ability to communicate data visually using Tableau, PowerBI, or Looker. Communication: Excellent verbal and written skills; you can explain a p -value to a non -technical manager. ### Preferred Tech Stack (Keywords) Languages: Python (Pandas, NumPy), R, SQL Viz Tools: Tableau, PowerBI, Looker, Plotly Machine Learning: Scikit -learn, XGBoost (applied to business problems) Big Data: Spark, Hadoop, Snowflake Benefits Salary Range: $50,000 - $180,000 USD / year (Commensurate with location and experience) Remote Friendly: Work from where you are most productive. Learning Budget: Stipend for data courses (Coursera, DataCamp) and books.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/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.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

About Us Bexorg is revolutionizing drug discovery by restoring molecular activity in postmortem human brains. Through our BrainEx platform, we directly experiment on functionally preserved human brain tissue, creating enormous high-fidelity molecular datasets that fuel AI-driven breakthroughs in treating CNS diseases. We are looking for a Junior Data Scientist to join our team and dive into this one-of-a-kind data. In this onsite role, you will work at the intersection of computational biology and machine learning, helping analyze high-dimensional brain data and uncover patterns that could lead to the next generation of CNS therapeutics. This is an ideal opportunity for a recent graduate or early-career scientist to grow in a fast-paced, mission-driven environment. The Job Data Analysis & Exploration: Work with large-scale molecular datasets from our BrainEx experiments - including transcriptomic, proteomic, and metabolic data. Clean, transform, and explore these high-dimensional datasets to understand their structure and identify initial insights or anomalies. Collaborative Research Support: Collaborate closely with our life sciences, computational biology and deep learning teams to support ongoing research. You will help biologists interpret data results and assist machine learning researchers in preparing data for modeling, ensuring that domain knowledge and data science intersect effectively. Machine Learning Model Execution: Run and tune machine learning and deep learning models on real-world central nervous system (CNS) data. You'll help set up experiments, execute training routines (for example, using scikit-learn or PyTorch models), and evaluate model performance to extract meaningful patterns that could inform drug discovery. Statistical Insight Generation: Apply statistical analysis and visualization techniques to derive actionable insights from complex data. Whether it's identifying gene expression patterns or correlating molecular changes with experimental conditions, you will contribute to turning data into scientific discoveries. Reporting & Communication: Document your analysis workflows and results in clear reports or dashboards. Present findings to the team, highlighting key insights and recommendations. You will play a key role in translating data into stories that drive decision-making in our R&D efforts. Qualifications and Skills: Strong Python Proficiency: Expert coding skills in Python and deep familiarity with the standard data science stack. You have hands-on experience with NumPy, pandas, and Matplotlib for data manipulation and visualization; scikit-learn for machine learning; and preferably PyTorch (or similar frameworks like TensorFlow) for deep learning tasks. Educational Background: A Bachelor's or Master's degree in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field. Equivalent practical project experience or internships in data science will also be considered. Machine Learning Knowledge: Solid understanding of machine learning fundamentals and algorithms. Experience developing or applying models to real or simulated datasets (through coursework or projects) is expected. Familiarity with high-dimensional data techniques or bioinformatics methods is a plus. Analytical & Problem-Solving Skills: Comfortable with statistics and data analysis techniques for finding signals in noisy data. Able to break down complex problems, experiment with solutions, and clearly interpret the results. Team Player: Excellent communication and collaboration skills. Willingness to learn from senior scientists and ability to contribute effectively in a multidisciplinary team that includes biologists, data engineers, and AI researchers. Motivation and Curiosity: Highly motivated, with an evident passion for data-driven discovery. You are excited by Bexorg's mission and eager to take on challenging tasks - whether it's mastering a new analysis method or digging into scientific literature - to push our research forward. Local to New Haven, CT preferred. No relocation offered for this position. Bexorg is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Bexorg will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.

Accepting applicants in CT, FL, MN, NJ, NC, OH, TX Mediate.ly is seeking a hands-on Data Scientist to elevate media performance analysis, predictive modeling, and channel optimization. In this role, you'll leverage advanced machine learning techniques and generative AI tools to uncover actionable insights, automate reporting, and enhance campaign effectiveness across digital channels. You'll manage and evolve our existing performance dashboard (with a small external team), own the feature roadmap, and collaborate closely with Primacy on SEO/CRO data integration. A key part of the role involves supporting Account teams with clear, insight-rich reporting powered by enhanced data storytelling and visualization. This was meant for you if you are passionate and skilled in transforming complex datasets into clear, compelling insights. Measures: AI-Enhanced Reporting & Insight Automation Business & Media Impact Reporting Standardization and Quality Dashboard & Data Product Ownership Reports to: President RESPONSIBILITIES: Media & Channel Analytics Analyze paid media across Google Ads, Meta, LinkedIn, Programmatic, YouTube; translate results into clear recommendations. Build/maintain attribution approaches (last-click, MTA, assisted) and funnel diagnostics. Integrate CRM/GA4/platform data to surface actionable trends by geo, audience, and creative. Predictive Modeling & Experimentation Develop forecasting and propensity models to guide budget allocation and channel mix. Run simulations (CPM/CPC/conv-rate scenarios) and design A/B and lift tests. Partner with SEO/CRO to connect acquisition with on-site conversion improvements. Dashboard Ownership (Existing Platform) Manage the dashboard development team (backlog, priorities, sprints) and collaborate on new features that improve usability and insight depth. Gather stakeholder requirements (Accounts, Media, Leadership) and maintain a transparent roadmap. Ensure data reliability (ETL QA, schema governance, tagging/UTM standards). Reporting & Client Enablement Support Account teams with data-backed, insight-driven reporting (monthly/quarterly reviews, executive summaries, narrative analyses). Build repeatable report templates; automate where possible while preserving clear storytelling. AI & Product Ideation Explore LLM/ML use cases (persona signals, creative scoring, conversion prediction). Prototype lightweight tools for planners/buyers (e.g., channel recommender, influence maps). What it takes to succeed in this role- QUALIFICATIONS: 5-7 years in data science/marketing analytics/digital media performance. Proficient in Python or R; strong SQL; experience with GA4/BigQuery and media platform exports. Comfort with BI tools (Looker Studio, Tableau, Power BI) and dashboard product management/ Data visualization. Familiarity with generative AI tools (e.g., OpenAI, Hugging Face, or Google Vertex AI) for automating insights, reporting, or content analysis. Comfortable in a fast-paced environment with competing priorities. Experience applying machine learning models to media mix modeling, customer segmentation, or predictive performance forecasting. Strong understanding of marketing attribution models and how to evaluate cross-channel performance using statistical techniques. Excellent communicator who can turn data into decisions for non-technical stakeholders. Experience with paid media a plus! Key Competencies Data Visualization & Storytelling - Skilled in transforming complex datasets into clear, compelling insights using tools like Tableau, Power BI, or Python libraries. AI & Machine Learning Expertise - Proficient in applying supervised and unsupervised learning techniques to optimize media performance and audience targeting. Media Analytics & Attribution - Deep understanding of digital media metrics, multi-touch attribution models, and cross-channel performance analysis. Dashboard Development & Management - Experience managing analytics dashboards, defining feature roadmaps, and collaborating with developers for scalable solutions. SEO/CRO Data Integration - Ability to synthesize SEO and conversion rate optimization data to inform predictive models and campaign strategies. Stakeholder Communication - Strong ability to translate data into actionable insights for Account teams and clients, supporting strategic decision-making. Automation & Efficiency - Familiarity with AI tools to streamline reporting, anomaly detection, and campaign optimization workflows. Statistical Analysis & Experimentation - Proficient in A/B testing, regression analysis, and causal inference to validate media strategies. The Perks: The best co-workers you'll ever find Unlimited PTO Medical, Dental, Vision, 401k plus match Annual performance bonus eligibility Ongoing training opportunities Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT: Prolonged periods of sitting at a desk and working on a computer. Occasional standing, walking, or lifting of office supplies (up to 10-20 lbs.) Frequent communication via phone, email, and video conferencing. Work is performed in a temperature-controlled office environment with standard lighting and noise levels. Position may require occasional travel to client site Compensation Range: We offer a competitive salary based on experience and qualifications. The compensation range for this position is $90,000 to $100,000 annually, with potential for bonuses, stock and additional benefits. EEO & Accessibility Statement Primacy is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require reasonable accommodation during the application or interview process, please contact [email protected]

**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 170 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 Category** Data Science **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** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: 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 five 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 ******************************************************** .

The Senior Sports Data Scientist will serve as a technical leader in designing and implementing advanced predictive models and metrics that power ESPN's analytics products and storytelling. This role combines cutting-edge data science with sports domain expertise to create innovative solutions that enhance storytelling across television, digital, and emerging platforms. The ideal candidate will architect complex statistical models, leverage machine learning techniques to uncover new insights, and translate sophisticated analyses into compelling narratives that resonate with diverse audiences. This position blends hands-on technical excellence with leadership responsibilities, requiring someone who can deliver sophisticated analyses while managing projects, mentoring junior team members, and partnering with engineering, product, and content teams. Responsibilities: * Design and implement advanced machine learning models and statistical algorithms to predict player and team performance, including pre-game and in-game predictions * Apply modern techniques including deep learning, Bayesian methods, ensemble models, and reinforcement learning to solve complex sports analytics problems * Leverage AI technologies to enhance analytics capabilities and create innovative solutions for sports player and team evaluation * Collaborate with engineering teams to deploy models at scale, ensuring robust performance in production environments * Transform complex statistical findings into clear, actionable insights that enhance storytelling across all ESPN platforms * Partner with product and content teams to identify high-impact opportunities for analytics integration * Mentor junior data scientists and establish best practices for code quality, model validation, and documentation * Present findings to senior leadership and external stakeholders, adapting communication style for technical and non-technical audiences * Stay current with academic research and industry trends in sports analytics, machine learning, and data science * Contribute to the team's technical strategy and help evaluate emerging technologies and methodologies Qualifications: * Minimum 5 years of experience in data science, machine learning, or quantitative analytics, with demonstrated expertise in sports analytics preferred * Advanced proficiency in Python or R for statistical modeling and machine learning * Expert-level SQL skills and experience with database systems * Deep understanding of statistical methods including regression analysis, time series forecasting, Bayesian inference, and causal inference * Proven track record of deploying machine learning models to production and monitoring their performance * Experience with cloud platforms * Experience with version control (Git) and software engineering best practices * Strong communication skills with ability to explain complex technical concepts to diverse audiences * Demonstrated passion for sports with working knowledge of major sports leagues, players, teams, and statistical trends * Ability to work in a fast-paced environment with competing priorities and tight deadlines * Full availability for this position, including occasional nights, weekends, and holidays during major sporting events Required Education: * Bachelor's Degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or related quantitative field, OR * High School Diploma/Equivalent with Minimum 5 years of relevant data science experience demonstrating equivalent expertise Preferred Education: * Advanced degree in Statistics, Machine Learning, Computer Science, Operations Research, or related quantitative field Additional Information: * Schedule Flexibility: This role requires flexibility to work outside standard business hours ahead of and during major sporting events, playoffs, and breaking news situations. Occasional weekend and holiday work will be necessary to support live productions and time-sensitive analytics. #ESPNMedia

The Senior Sports Data Scientist will serve as a technical leader in designing and implementing advanced predictive models and metrics that power ESPN's analytics products and storytelling. This role combines cutting-edge data science with sports domain expertise to create innovative solutions that enhance storytelling across television, digital, and emerging platforms. The ideal candidate will architect complex statistical models, leverage machine learning techniques to uncover new insights, and translate sophisticated analyses into compelling narratives that resonate with diverse audiences. This position blends hands-on technical excellence with leadership responsibilities, requiring someone who can deliver sophisticated analyses while managing projects, mentoring junior team members, and partnering with engineering, product, and content teams. **Responsibilities:** + Design and implement advanced machine learning models and statistical algorithms to predict player and team performance, including pre-game and in-game predictions + Apply modern techniques including deep learning, Bayesian methods, ensemble models, and reinforcement learning to solve complex sports analytics problems + Leverage AI technologies to enhance analytics capabilities and create innovative solutions for sports player and team evaluation + Collaborate with engineering teams to deploy models at scale, ensuring robust performance in production environments + Transform complex statistical findings into clear, actionable insights that enhance storytelling across all ESPN platforms + Partner with product and content teams to identify high-impact opportunities for analytics integration + Mentor junior data scientists and establish best practices for code quality, model validation, and documentation + Present findings to senior leadership and external stakeholders, adapting communication style for technical and non-technical audiences + Stay current with academic research and industry trends in sports analytics, machine learning, and data science + Contribute to the team's technical strategy and help evaluate emerging technologies and methodologies **Qualifications:** + Minimum 5 years of experience in data science, machine learning, or quantitative analytics, with demonstrated expertise in sports analytics preferred + Advanced proficiency in Python or R for statistical modeling and machine learning + Expert-level SQL skills and experience with database systems + Deep understanding of statistical methods including regression analysis, time series forecasting, Bayesian inference, and causal inference + Proven track record of deploying machine learning models to production and monitoring their performance + Experience with cloud platforms + Experience with version control (Git) and software engineering best practices + Strong communication skills with ability to explain complex technical concepts to diverse audiences + Demonstrated passion for sports with working knowledge of major sports leagues, players, teams, and statistical trends + Ability to work in a fast-paced environment with competing priorities and tight deadlines + Full availability for this position, including occasional nights, weekends, and holidays during major sporting events **Required Education** : + Bachelor's Degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or related quantitative field, OR + High School Diploma/Equivalent with Minimum 5 years of relevant data science experience demonstrating equivalent expertise **Preferred Education** : + Advanced degree in Statistics, Machine Learning, Computer Science, Operations Research, or related quantitative field **Additional Information:** + **Schedule Flexibility:** This role requires flexibility to work outside standard business hours ahead of and during major sporting events, playoffs, and breaking news situations. Occasional weekend and holiday work will be necessary to support live productions and time-sensitive analytics. \#ESPNMedia **Job ID:** 10128384 **Location:** Bristol,Connecticut **Job Posting Company:** ESPN ESPN Productions, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Tsunami Tsolutions is seeking a motivated Data Scientist to join its Aviation Analytics department. This person will be responsible for developing and deploying solutions to various customers that utilize a wide range of analytics tools. They will work with team members and customers to identify new sources of value and take actions to capture it. The selected individual will also work to ensure data quality and provide metrics as indicators of the current state. This role will also require the presentation of findings to customers and senior management. NOTE: This position requires access to technologies and hardware subject to US national Security based export control requirements. All applicants must be US Citizen (8 USC 1324b(a)(3)), or otherwise authorized by the U.S. Government. NO Company Sponsorship offered. Responsibilities: • Working with stakeholders to understand complex business processes and data streams. • Collaborate with stakeholders and whiteboard solutions. • Identify, collect and clean data from multiple sources • Validate, interpret and provide business insights • Research, build, implement and evaluate various analytic techniques to select the best application • Work with team members to deploy solutions across the organization • Reporting periodic progress on projects, including tracking usage and value derived from the models Position Requirements • B.S degree in computer science, data science or engineering. Advanced Degree Preferred • 3-5 years of industry experience preferred • Experience building dashboards and visualizations using Qlik, Power BI, Tableau or similar • Strong programming skills on languages used in data science including Python, R and SQL • Advanced proficiency in Microsoft Excel with competency in vlookups, pivot tables, etc. • Ability to learn new concepts quickly and translate them into practical applications • Ability to effectively communicate findings to non-technical audiences • Experience building and implementing machine learning models in Python or R a plus Offer contingent upon successful completion of a background check and drug screen.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_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 + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **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:** 02/15/2026 *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 _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 (***************************************************************************************************************************

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit and Cash Balance plans. Section 2: Job Functions, Essential Duties and Responsibilities * Review, prepare and/or certify client projects and ensure accurate client deliverables including: * Actuarial valuations and reports * Benefit statements * Plan documents, amendments, employee communications (SPDs, etc.) * Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) * IRS determination filings and PBGC (Form 500 series) termination submissions * ASC 715/960 * Perform and review combined plan non-discrimination testing * Answer technical questions posed by staff * Research the Internal Revenue Code and other technical resources to resolve client issues * Provide technical training for staff * Provide back up to other teams as necessary * Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. * Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. * Assist with other tasks and projects as assigned Supervision * N/A Section 3: Experience, Skills, Knowledge Requirements * Bachelor's degree in actuarial science, math or math related field * Enrolled Actuary designation with 5 years industry experience * Advanced understanding of: * Pension law * Plan documents and IRS favorable determination letters * Actuarial valuations and software systems * Excellent technical/analytical skills * Ability to research technical issues * Ability to explain technical issues to all levels of associates * Good verbal and written communication skills * Demonstrated expertise with Microsoft Office, particularly Excel applications * Demonstrated expertise with industry recognized pension valuation software * Detail and accuracy oriented * Good time management skills * Team Player We are proud to be an Equal Opportunity Employer Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").

Hours: 40 Pay Details: $86,840 - $130,000 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: Depth & Scope: Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes Position typically deals with senior/executive management Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size Focuses on longer-range planning for functional area (e.g. 12 months or greater) May manage and prioritize multiple projects at a given time Education & Experience: Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or 5+ year of relevant experience; higher degree education and research tenure can be counted Customer Accountabilities: Works closely with business owners to identify opportunities and serves as an ambassador for data science Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business Shareholder Accountabilities: Analytical thought leadership and stays current on developments in data mining and the application of data science Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency Educates the organization on approaches, such as testing hypotheses and statistical validation of result Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment Translates up to date information into continuous improvement activities that enhances performance Adheres to enterprise frameworks or methodologies that relate to activities for business area Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite Employee/Team Accountabilities: Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques Participates in personal performance management and development activities, including cross training within own team Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships Contributes to a fair, positive and equitable environment that supports a diverse workforce Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% Domestic Travel - Occasional International Travel - Never Performing sedentary work - Continuous Performing multiple tasks - Continuous Operating standard office equipment - Continuous Responding quickly to sounds - Occasional Sitting - Continuous Standing - Occasional Walking - Occasional Moving safely in confined spaces - Occasional Lifting/Carrying (under 25 lbs.) - Occasional Lifting/Carrying (over 25 lbs.) - Never Squatting - Occasional Bending - Occasional Kneeling - Never Crawling - Never Climbing - Never Reaching overhead - Never Reaching forward - Occasional Pushing - Never Pulling - Never Twisting - Never Concentrating for long periods of time - Continuous Applying common sense to deal with problems involving standardized situations - Continuous Reading, writing and comprehending instructions - Continuous Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at ***************. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

Life Asset Management/ERM Actuary opening in Hartford, CT. Provide portfolio optimization, capital management, asset management, ERM analysis, and software development for numerous Life insurance companies. Ideal candidate is ASA or pre-ASA with 5+ years of asset management, ERM, or investment-related insurance experience. (PR13023A)

The Senior Sports Data Scientist will serve as a technical leader in designing and implementing advanced predictive models and metrics that power ESPN's analytics products and storytelling. This role combines cutting-edge data science with sports domain expertise to create innovative solutions that enhance storytelling across television, digital, and emerging platforms. The ideal candidate will architect complex statistical models, leverage machine learning techniques to uncover new insights, and translate sophisticated analyses into compelling narratives that resonate with diverse audiences. This position blends hands-on technical excellence with leadership responsibilities, requiring someone who can deliver sophisticated analyses while managing projects, mentoring junior team members, and partnering with engineering, product, and content teams. Responsibilities: Design and implement advanced machine learning models and statistical algorithms to predict player and team performance, including pre-game and in-game predictions Apply modern techniques including deep learning, Bayesian methods, ensemble models, and reinforcement learning to solve complex sports analytics problems Leverage AI technologies to enhance analytics capabilities and create innovative solutions for sports player and team evaluation Collaborate with engineering teams to deploy models at scale, ensuring robust performance in production environments Transform complex statistical findings into clear, actionable insights that enhance storytelling across all ESPN platforms Partner with product and content teams to identify high-impact opportunities for analytics integration Mentor junior data scientists and establish best practices for code quality, model validation, and documentation Present findings to senior leadership and external stakeholders, adapting communication style for technical and non-technical audiences Stay current with academic research and industry trends in sports analytics, machine learning, and data science Contribute to the team's technical strategy and help evaluate emerging technologies and methodologies Qualifications: Minimum 5 years of experience in data science, machine learning, or quantitative analytics, with demonstrated expertise in sports analytics preferred Advanced proficiency in Python or R for statistical modeling and machine learning Expert-level SQL skills and experience with database systems Deep understanding of statistical methods including regression analysis, time series forecasting, Bayesian inference, and causal inference Proven track record of deploying machine learning models to production and monitoring their performance Experience with cloud platforms Experience with version control (Git) and software engineering best practices Strong communication skills with ability to explain complex technical concepts to diverse audiences Demonstrated passion for sports with working knowledge of major sports leagues, players, teams, and statistical trends Ability to work in a fast-paced environment with competing priorities and tight deadlines Full availability for this position, including occasional nights, weekends, and holidays during major sporting events Required Education: Bachelor's Degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or related quantitative field, OR High School Diploma/Equivalent with Minimum 5 years of relevant data science experience demonstrating equivalent expertise Preferred Education: Advanced degree in Statistics, Machine Learning, Computer Science, Operations Research, or related quantitative field Additional Information: Schedule Flexibility: This role requires flexibility to work outside standard business hours ahead of and during major sporting events, playoffs, and breaking news situations. Occasional weekend and holiday work will be necessary to support live productions and time-sensitive analytics. #ESPNMedia Job Posting Segment: ESPN Digital, Social & Streaming Content Job Posting Primary Business: Stats & Information Group Primary Job Posting Category: Tech Data Analytics Employment Type: Full time Primary City, State, Region, Postal Code: Bristol, CT, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-08-15

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_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 + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **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:** 11/05/2025 *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. _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 (***************************************************************************************************************************