Data scientist jobs in New Britain, CT - 150 jobs

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.

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 (**************************************** .

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 ******************************************************** .

RISE Data Scientist Reports to: Monitoring, Evaluation, and Learning Manager Salary: Competitive and commensurate with experience Please note: Due to the upcoming holidays, application review for this position will begin the first week of January. Applicants can expect outreach by the end of the week of January 5. Overview: The RISE Network's mission is to ensure all high school students graduate with a plan and the skills and confidence to achieve college and career success. Founded in 2016, RISE partners with public high schools to lead networks where communities work together to use data to learn and improve. Through its core and most comprehensive network, RISE partners with nine high schools and eight districts, serving over 13,000 students in historically marginalized communities. RISE high schools work together to ensure all students experience success as they transition to, through, and beyond high school by using data to pinpoint needs, form hypotheses, and pursue ideas to advance student achievement. Partner schools have improved Grade 9 promotion rates by nearly 20 percentage points, while also decreasing subgroup gaps and increasing schoolwide graduation and college access rates. In 2021, the RISE Network was honored to receive the Carnegie Foundation's annual Spotlight on Quality in Continuous Improvement recognition. Increasingly, RISE is pursuing opportunities to scale its impact through research publications, consulting partnerships, professional development experiences, and other avenues to drive excellent student outcomes. Position Summary and Essential Job Functions: The RISE Data Scientist will play a critical role in leveraging data to support continuous improvement, program evaluation, and research, enhancing the organization's evidence-based learning and decision-making. RISE is seeking a talented and motivated individual to design and conduct rigorous quantitative analyses to assess the outcomes and impacts of programs. The ideal candidate is an experienced analyst who is passionate about using data to drive social change, with strong skills in statistical modeling, data visualization, and research design. This individual will also lead efforts to monitor and analyze organization-wide data related to mission progress and key performance indicators (KPIs), and communicate these insights in ways that inspire improvement and action. This is an exciting opportunity for an individual who thrives in an entrepreneurial environment and is passionate about closing opportunity gaps and supporting the potential of all students, regardless of life circumstances. The role will report to the Monitoring, Evaluation, and Learning (MEL) Manager and sit on the MEL team. Responsibilities include, but are not limited to: 1. Research and Evaluation (30%) Collaborate with MEL and network teams to design and implement rigorous process, outcome, and impact evaluations. Lead in the development of data collection tools and survey instruments. Manage survey data collection, reporting, and learning processes. Develop RISE learning and issue briefs supported by quantitative analysis. Design and implement causal inference approaches where applicable, including quasi-experimental designs. Provide technical input on statistical analysis plans, monitoring frameworks, and indicator selection for network programs. Translate complex findings into actionable insights and policy-relevant recommendations for non-technical audiences. Report data for RISE leadership and staff, generating new insights to inform program design. Create written reports, presentations, publications, and communications pieces. 2. Quantitative Analysis and Statistical Modeling (30%) Clean, transform, and analyze large and complex datasets from internal surveys, the RISE data warehouse, and external data sources such as the National Student Clearinghouse (NSC). Conduct exploratory research that informs organizational learning. Lead complex statistical analyses using advanced methods (regression modeling, propensity score matching, difference in differences analysis, time-series analysis, etc). Contribute to data cleaning and analysis for key performance indicator reporting. Develop processes that support automation of cleaning and analysis for efficiency. Develop and maintain analytical code and workflows to ensure reproducibility. 3. Data Visualization and Tool-building (30%) Work closely with non-technical stakeholders to understand the question(s) they are asking and the use cases they have for specific data visualizations or tools Develop well-documented overviews and specifications for new tools. Create clear, compelling data visualizations and dashboards. Collaborate with Data Engineering to appropriately and sustainably source data for new tools. Manage complex projects to build novel and specific tools for internal or external stakeholders. Maintain custom tools for the duration of their usefulness, including by responding to feedback and requests from project stakeholders. 4. Data Governance and Quality Assurance (10%) Support data quality assurance protocols and standards across the MEL team. Ensure compliance with data protection, security, and ethical standards. Maintain organized, well-documented code and databases. Collaborate with the Data Engineering team to maintain RISE MEL data infrastructure. Qualifications Master's degree (or PhD) in statistics, economics, quantitative social sciences, public policy, data science, or related field. Minimum of 3 years of professional experience conducting statistical analysis and managing large datasets. Advanced proficiency in R, Python, or Stata for data analysis and modeling. Experience designing and implementing quantitative research and evaluation studies. Strong understanding of inferential statistics, experimental and quasi-experimental methods, and sampling design. Strong knowledge of survey data collection tools such as Key Surveys, Google Forms, etc. Excellent data visualization and communication skills Experience with data visualization tools; strong preference for Tableau. Ability to translate complex data into insights for diverse audiences, including non-technical stakeholders. Ability to cultivate relationships and earn credibility with a diverse range of stakeholders. Strong organizational and project management skills. Strong sense of accountability and responsibility for results. Ability to work in an independent and self-motivated manner. Demonstrated proficiency with Google Workspace. Commitment to equity, ethics, and learning in a nonprofit or mission-driven context. Positive attitude and willingness to work in a collaborative environment. Strong belief that all students can learn and achieve at high levels. Preferred Experience working on a monitoring, evaluation, and learning team. Familiarity with school data systems and prior experience working in a school, district, or similar K-12 educational context preferred. Experience working with survey data (e.g., DHS, LSMS), administrative datasets, or real-time digital data sources. Working knowledge of data engineering or database management (SQL, cloud-based platforms). Salary Range $85k - $105k Most new hires' salaries fall within the first half of the range, allowing team members to grow in their roles. For those who already have significant and aligned experiences at the same level as the role, placement may be at the higher end of the range. The Connecticut RISE Network is an equal opportunity employer and welcomes candidates from diverse backgrounds. RISE Interview & Communication Policy The RISE interview process includes: A video or phone screening with the hiring manager Interviews with the hiring panel A performance task Reference checks Applicants will never receive an offer unless they have completed the full interview process. All official communications with applicants are sent only through ADP or CT RISE email addresses (@ctrise.org). There has been a job offer scam circulating from various email addresses using the domain @careers-ctrise.org-this is not a valid RISE email address. If you receive an email from anyone claiming to represent RISE with a job offer outside of our official channels, or requesting written screening information, and you have not completed the full interview process, please do not respond and report it to ******************.

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.

Job DescriptionSalary: MPS Baltic client OP Corporate Bank is part of OP Financial Group, the leading financial services group in Finland. OP Corporate Bank has been operating in Lithuania for 12 years, offers services to business customers and focuses on large companies. CurrentlyOP Corporate Bank is looking for aData Scientistto join their team in Vilnius. Do you have a passion for credit risk, data science, and automation? We invite you to make a deep dive into genuine banking expertise, managing credit risk, and solving substantial real-world financial challenges in a dynamic and forward-thinking environment. This opportunity allows you to grow as a credit risk expert by applying cutting-edge data science techniques, collaborating with top professionals in Lithuania and Finland, and contributing to innovative banking solutions. The Role: Improve existing and create new data-driven tools in DataBricks for efficiency and automation Contribute to the ongoing Azure cloud transformation in credit risk area Contribute to the optimization/automation of MLflow deployments Promoting best practices across department, contributing/organizing workshops Work with Python, Spark, SQL, and Git to manage and analyse data The Person: 2+ years of experience in data analysis, modelling, or machine learning Python & SQL proficiency Experience with Git Strong analytical & problem-solving skills Fluent Lithuanian and English (written & spoken) Credit risk and/or Azure Databricks experience is a bonus What is offered: Professional Growth: Work in a Scandinavian corporate culture that values learning and development Advanced Technology: Use Azure, Databricks, Python, and ML models in a cloud-based environment Impactful Work: Contribute to credit risk modelling, automation, and analytics that drive business decisions Collaboration: Work with top data professionals in Lithuania and Finland Competitive Package: Salary depending on your experience and competencies, plus health insurance, lunch subsidies, event budget, parking, and more International Experience: Opportunity for business trips to Finland Should you feel that your skills and experience match the above we would be delighted to receive your application. To apply in the strictest confidentiality, please send your CV marked Data Scientist to executive search company MPS Baltic by email:*********. Only short-listed candidates will be contacted. Additional information provided on ph.: +************5, Ina Skiauterien. Check out more about OP Corporate Bank Lithuania branch on*********************

Apply Description The Kinsley Group is seeking a talented and motivated Data Scientist II to join our team. This role is critical in establishing robust data governance practices and laying the groundwork for leveraging artificial intelligence (AI) within our organization. The ideal candidate will have a strong understanding of data structures, data quality, and reporting, and will be passionate about building scalable and usable data solutions that enable advanced analytics and AI-driven solutions, recommendations, and insights. Key Responsibilities Data Architecture & Governance Design, implement, and maintain data governance frameworks to ensure data integrity, security, and compliance across all data sources. Develop and optimize data structures and pipelines to support high-quality reporting and analytics. Evaluate and improve the usability and accessibility of data for business and technical stakeholders. Collaborate with cross-functional teams to define data governance via data standards, policies, and best practices that enable future AI initiatives. Monitor and enhance the quality and accuracy of data outputs, proactively identifying and resolving issues. Develop documentation and training materials to support data literacy and governance across the organization. Ability to communicate complex analytical findings clearly to a variety of stakeholders. Manages initiatives efficiently, ensuring timely delivery and adherence to project scope and objectives. AI Foundational Solutions & Recommendations A key responsibility of this position is understanding essential workflows, decision-making processes, and pain points within business operations to identify targeted opportunities where AI can deliver meaningful value to both internal stakeholders and external clients. This includes recommending and implementing AI solutions-such as automating routine tasks for internal teams or enhancing customer support experiences for clients-that are central to driving operational efficiency and elevating the overall customer experience. Stay current with industry trends in data management, governance, and AI technologies. Work with operational teams to investigate integrating smart sensors, SCADA, ComApp, and IoT data from power generation and distribution assets into a central AI data ready platform. Capture and analyze energy consumption for AI solutions around production, and performance data to identify opportunities for efficiency improvements and predictive maintenance. Collaborate with teams to potentially develop AI-driven solutions for outage prediction, asset health monitoring, and demand response programs. Assist in data integration and quality assurance via AI for potential smart meter, distributed energy resource, and customer analytics projects. Skilled in designing and building voice and chatbot's to support our workforce. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. 2+ years of experience in data science, data engineering, or analytics roles. Strong knowledge of data governance principles, data architecture, and best practices. Experience working with relational and non-relational databases, data modeling, and ETL processes. Strong proficiency with SQL and data management platforms (e.g., Oracle, Microsoft SQL Server, Azure). Proficiency in at least one programming language such as Java, Python and/or R. Experience with data visualization and reporting tools (e.g., Power BI & Microsoft Fabric). Excellent communication and collaboration skills with the ability to work effectively with technical and non-technical teams to build and maintain strong relationships. Ability to work effectively with cross-functional teams and external partners to achieve common goals. Familiarity with AI and machine learning concepts is a plus. Shows creativity and innovation in problem-solving while understanding the necessary steps and planning to achieve results with artificial intelligence solutions. Possesses the ability to plan and execute strategies effectively to meet project goals and deadlines. Adapts to changing environments and requirements, demonstrating flexibility and resilience. If you are passionate about data governance, building strong data foundations, and enabling AI capabilities, we invite you to apply and help drive our data journey forward. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

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").

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

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary 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, Cash Balance plans and DB/DC Combo 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 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").