Job Description: As a Data Scientist, you will play a pivotal role in our Data Science and Machine Learning (DSML) team, contributing to technical delivery of strategic projects from inception to implementation. You will apply your experience in data science, machine learning, and statistical analysis to solve complex challenges, enhance our product offerings, and deliver actionable insights that propel our business forward. This role requires a blend of technical proficiency and collaboration to help DSML deliver impactful work. Who you’re committed to being: - You enjoy learning and are open to new ways of doing things. - You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns. - When communicating you are self-aware, insightful, and proactive. - You are a team member first and individual contributor second. You are aware that high-performing teams are only as strong as their weakest link. - You believe in continuous improvement and request frequent feedback from others. What you’ll do: - Develop algorithms and models from the experimental and prototyping phases all the way through to their use in customer-facing solutions. - Collaborate with data scientists and machine learning engineers to define technical product requirements. - Establish performance metrics, build test suites, and create visualizations that effectively track model behavior. - Communicate complex data-driven insights and recommendations to technical and non-technical stakeholders. Experience you’ll bring: - Experience self managing projects and deliverables - Experience working on NLP, LLM, and causal imprints. - Hands on experience with search, recommendation engines, forecasting, causal imprints, etc. - Detailed knowledge of data structures and database operations. - Problem-solving skills and the ability to work on complex issues requiring innovative solutions. - Effective communication and collaboration skills when partnering with stakeholders and team members to resolve ambiguity in data science projects. Requirements: - 3+ years of hands-on, professional experience in data science, machine learning, or a related field, with a proven track record of delivering impactful data science projects. - Strong SQL and Python skills. - This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility. Why you’ll love working here: - We work in a blended environment that supports collaboration, flexibility, and connection across teams. - We are mission-driven, shaping the future of tech upskillling and delivering impact that matters. - We foster a culture of inclusion and belonging, where everyone can contribute and thrive. - We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose. - Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more. About us: Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today’s tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster. Physical Requirements: This role is primarily performed in an office or home office setting and involves standard computer-based work. EEOC & Accommodations Statement: Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws. If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report. Pay Transparency: The annual US base salary range for this role is $121,600 - $160,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply. Applications must be submitted within 90 days after the initial posting date to be considered. Recruiting Scam Notice: Please be aware of recruiting scams. We’ll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page. #LI-DB1

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: - Make it human. We care about the people that make up our customers, colleagues, and communities. - Make it about others. We do what's best for our customers and collaborate to drive progress. - Make it happen. We work with intention toward a common purpose and forge ways forward together. - Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Data Scientist Manager POSITION LOCATION Richmond, VA (preferred) Remote US (Eastern and Central Time Zones) This position is available to Virginia residents as Richmond, Virginia in-office applicants or remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia or Wisconsin. YOUR ROLE As a Data Scientist Manager, you serve as both a strategic thought partner and a technical expert driving advanced analytics capabilities across the organization. You will lead complex, high‑impact initiatives and partner closely with senior leaders to embed data‑driven insights into business strategy. This role combines deep analytical expertise with advanced modeling. You will influence decision‑making, develop scalable data products, and elevate the organization’s analytic maturity in support of Long‑Term Care Insurance strategy. What you will be doing - Lead complex, cross‑functional analytics initiatives from concept through execution, ensuring insights drive business strategy. - Partner with senior leaders to define analytical problem statements, gather requirements, and translate business needs into data‑driven solutions. - Act as a thought leader for data science best practices, analytic design, and modeling approaches across the organization. - Influence stakeholders at all levels, presenting insights, use cases, and strategic recommendations. - Develop and deploy advanced statistical models, machine‑learning tools, and predictive capabilities supporting LTC strategy and customer insights - Conduct deep exploratory data analysis to uncover trends, relationships, and emerging insights that drive strategic action. - Design and implement repeatable analytics pipelines, feature engineering strategies, and model validation frameworks. - Build advanced datasets and analytical assets using SQL/SAS/Python/R; explore large, complex data environments. - Develop subject‑matter expertise in policies, claims, customer behavior, and LTC data ecosystems. - Contribute to data modernization projects, including cloud transitions, data engineering collaboration, and scalable data architecture improvements. - Ensure data quality, model documentation, reproducibility, and governance standards are met. - Communicate complex analytical findings through compelling written, visual, and verbal storytelling. - Deliver clear, concise presentations that enable senior leaders to make informed decisions rapidly. What you bring Required - Bachelor’s degree in an analytical, quantitative, or technical discipline - 5+ years business analytics and business support functions experience - 5+ years of experience in one or more of the following statistical / analytic languages such as Python (Pandas, Scikit-Learn), Apache Spark (or PySpark), Hive, and Scala in a cloud computing environment - 5+ years of experience in one or more of the following: database query and management tools (SQL, Spark, Preseto/Athena/Hive / HQL etc.) - Hands-on experience with advanced analytics like logistic regression, time series, forecasting, optimization, and other predictive modeling techniques. ML experience and knowledge of ML platforms, libraries and programming - Experience using GLMs, XGBoost and other predictive analytic techniques - Ability to translate business needs into technical requirements and articulate analytic solution to get business buy-in - Ability to influence decision makers and drive consensus Preferred - Master’s degree in a quantitative or related field - Experience with Long‑Term Care Insurance products, claims processes, or actuarial environments - Experience with ETL, data engineering concepts, or RDBMS systems (SQL Server, Oracle, Greenplum) - Experience with big data ecosystems (Hadoop, Spark, Hive, Databricks, AWS/Azure) - Background in advanced modeling techniques, MLOps, or deployment frameworks Employee Benefits & Well-Being Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. - Competitive Compensation & Total Rewards Incentives - Comprehensive Healthcare Coverage - Multiple 401(k) Savings Plan Options - Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) - Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave - Disability, Life, and Long Term Care Insurance - Tuition Reimbursement, Student Loan Repayment and Training & Certification Support - Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management) - Caregiver and Mental Health Support Services ADDITIONAL - At this time, Genworth will not sponsor a new applicant for employment authorization for this position - No agencies please For the State of New York: The base salary pay range for this role starts at a minimum rate of $115,900 up to the maximum of $220,200. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 10% of your base compensation. The final determination on base pay for this position will be based on multiple factors at the time of this job posting including but not limited to geographic location, experience, and qualifications to ensure pay equity within the organization.

We take great strides to ensure our employees have the resources to live well, be healthy, continue learning, develop skills, grow professionally and serve our local communities. We invite you to apply for a career with Blue Cross. Residency in or relocation to Louisiana is preferred for all positions. What This Team Does The Healthcare Analytics & Data Science team develops data-driven solutions that strengthen how healthcare is delivered, valued, and understood. Using machine learning, statistical modeling, and generative AI, the team analyzes data, finds key correlations, and recommends strategies to improve patient outcomes, provider performance, risk-adjusted revenue, and organizational initiatives that support cost-effective care. This team partners closely with business units and IT to deliver predictive models, prescriptive insights, and innovative AI based tools that improve decision-making and operational efficiency across the enterprise. As a Healthcare Data Science Intern, you’ll support data exploration, model development, analytic problem-solving, and the creation of AI/ML solutions that advance organizational performance and member outcomes. What You’ll Be Doing - Assist in developing statistical, predictive, and machine learning models related to patient utilization, outcomes, and provider performance. - Contribute to generative AI initiatives that enhance internal processes, automate insights, or improve user engagement. - Work with large datasets to perform data wrangling, feature engineering, and exploratory data analysis. - Partner with business stakeholders to translate analytical findings into actionable insights. - Collaborate with IT teams to support model deployment efforts and analytic tool development. - Document modeling methods, results, and assumptions in a clear and professional manner. - Contribute to projects focused on medical cost optimization, risk adjustment, and engagement analytics. Who We’re Looking For Education Currently pursuing one of the following: - Data Science, Computer Science, Statistics, Mathematics, Economics, Analytics, or other quantitative/health care related field. - Senior undergraduate, recent graduate, or graduate student - Coursework in machine learning, statistics, data analysis, or programming is preferred GPA - Preferred: 3.5+ - Minimum: 3.0 cumulative GPA Skills & Experience Minimum Qualifications - Working knowledge of Python for data analysis (e.g., pandas, NumPy) and comfort working in notebook-based environments (such as Databricks or Jupyter notebooks). - Foundational SQL skills for querying, joining, and transforming data. - Understanding of core statistics and data science concepts (e.g., descriptive statistics, regression or classification, model evaluation fundamentals). - Introductory experience with machine learning concepts and Python‑based ML libraries (e.g., scikit‑learn), through coursework, projects, or internships. - Experience using Microsoft Excel and PowerPoint to analyze data and communicate results. - Strong analytical thinking skills with the ability to interpret data, solve problems, and clearly summarize findings for non-technical audiences. - Effective written and verbal communication skills and ability to work collaboratively on a team. Preferred Qualifications - Exposure to Databricks platform and scalable data processing concepts (e.g., PySpark, Delta tables). - Familiarity with BI and data visualization tools, especially Power BI or Tableau, including dashboard design best practices. - Additional experience with advanced ML or AI frameworks (e.g., PyTorch, TensorFlow) or LLM/GenAI tooling (e.g., LangChain, OpenAI APIs) through projects or experimentation. - Awareness of modern data platforms or lakehouse architectures (e.g., curated vs. raw data, reproducible analytics). - Interest in learning how analytics connects to internal tools or lightweight applications, with optional exposure to APIs, VS Code, or basic front-end concepts over time. What Will Help You Succeed - Curiosity and a proactive approach to learning new tools and technologies - Strong attention to detail and organization - Comfort working with large datasets and complex technical concepts - Ability to collaborate with cross functional teams, including business and IT functional teams - Interest in healthcare analytics, machine learning, and AI driven problem-solving Location Requirement Remote – must be in an approved work from home state (see career site) Time Commitment 20 hours per week #LI-DNI An Equal Opportunity Employer All BCBSLA EMPLOYEES please apply through Workday Careers. PLEASE USE A WEB BROWSER OTHER THAN INTERNET EXPLORER IF YOU ENCOUNTER ISSUES (CHROME, FIREFOX, SAFARI) Additional Information Please be sure to monitor your email frequently for communications you may receive during the recruiting process. Due to the high volume of applications we receive, only those most qualified will be contacted. To monitor the status of your application, please visit the "My Applications" section in the Candidate Home section of your Workday account. If you are an individual with a disability and require a reasonable accommodation to complete an application, please contact recruiting@bcbsla.com for assistance. In support of our mission to improve the health and lives of Louisianians, Blue Cross encourages the good health of its employees and visitors. We want to ensure that our employees have a work environment that will optimize personal health and well-being. Due to the acknowledged hazards from exposure to environmental tobacco smoke, and in order to promote good health, our company properties are smoke and tobacco free. Blue Cross and Blue Shield of Louisiana performs background and pre-employment drug screening after an offer has been extended and prior to hire for all positions. As part of this process records may be verified and information checked with agencies including but not limited to the Social Security Administration, criminal courts, federal, state, and county repositories of criminal records, Department of Motor Vehicles and credit bureaus. Pursuant with sec 1033 of the Violent Crime Control and Law Enforcement Act of 1994, individuals who have been convicted of a felony crime involving dishonesty or breach of trust are prohibited from working in the insurance industry unless they obtain written consent from their state insurance commissioner. Additionally, Blue Cross and Blue Shield of Louisiana is a Drug Free Workplace. A pre-employment drug screen will be required and any offer is contingent upon satisfactory drug testing results.

• Drive foundation models for wearable biosignals, setting standards for reusable representations, tooling, and evaluation adopted across multiple health features. • Design, implement, and validate deep learning approaches for large‑scale physiological time‑series (e.g., PPG, motion, temperature), including self‑supervised and multimodal pretraining; deliver adapters/probes for diverse downstream tasks. • Lead scientific publications from core modeling and validation work that advance understanding of human physiology and support Oura’s mission to improve health. • Build and operate scalable data generation, training, and inference pipelines to improve efficiency and reproducibility. • Lead collaborations with scientists, clinicians, engineers, and product teams to translate research advances into production features that bring value to Oura members.