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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Manager - **Company:** Genworth Financial, Inc. - **Location:** Glen Allen, VA, United States - **Experience:** Expert - **Salary:** $115,900.0 - $220,200.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Presentation, Dataspaces, Relational Databases, Database Queries, Greenplum, Apache Hadoop, Apache Hive, Python (Programming Language), Logistic Regression, Machine Learning, Microsoft SQL Server, Oracle (Applications), Azure Machine Learning, SAS (Software), SQL Databases, Feature Engineering, Apache Spark, Model Validation, Pandas, Pyspark, Scikit Learn, Xgboost, Machine Learning Operations, Databricks - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=df198bfd463c2372 ## About the Role * 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 ## Description 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)