Über
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.
Key Values
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.
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.
Required What you bring
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, Presto/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
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.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.