As a Data Scientist Manager, you will lead complex analytics initiatives and partner with senior leaders to embed data-driven insights into business strategy for Long-Term Care Insurance. You will develop scalable data products, conduct exploratory data analysis, and deploy advanced statistical models using Python, SQL, SAS, or R in cloud environments. Your role involves designing repeatable analytics pipelines, ensuring data quality, and communicating complex findings through compelling storytelling to enable informed decision-making at all levels. The ideal candidate has 5+ years of experience with predictive modeling techniques, machine learning platforms, and database query tools, along with a strong background in advanced analytics and business support functions. Experience with Long-Term Care Insurance products and big data ecosystems is preferred.
Skills
Python
Pandas
Scikit-Learn
Apache Spark
PySpark
SQL
Hive
XGBoost
Logistic Regression
Time Series
Forecasting
Optimization
Machine Learning
GLMs
MLOps
ETL
Data Engineering
RDBMS
SQL Server
Oracle
Greenplum
Hadoop
Databricks
AWS
What you'll do
Lead complex analytics initiatives from concept through execution to drive business strategy.
Develop advanced statistical models and machine-learning tools supporting LTC strategy.
Conduct exploratory data analysis to uncover trends and insights for strategic action.
Design repeatable analytics pipelines, feature engineering strategies, and model validation frameworks.
Build datasets and analytical assets using SQL/SAS/Python/R in large, complex environments.
Communicate complex analytical findings through compelling written, visual, and verbal storytelling.
What we're looking for
5+ years of experience in business analytics and support functions
Deep expertise in Python (Pandas, Scikit-Learn), Apache Spark, SQL, and cloud computing environments
Hands-on experience with advanced analytics techniques including logistic regression, time series forecasting, and machine learning platforms
Strong ability to translate business needs into technical requirements and articulate analytic solutions for stakeholder buy-in
Proven track record of influencing decision-makers and driving consensus on complex initiatives
Experience in developing and deploying predictive models using GLMs, XGBoost, and other techniques
Solid background in data quality assurance, model documentation, and governance standards
Market check
Salary context
This
$115,900–$115,900
range sits above
7%
of similar postings on FindRole.
Peer median band
$110,000–$220,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$192,287
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Genworth Financial
Genworth Financial is a financial services company focused on mortgage insurance, long-term care insurance, and life insurance and annuity products to help people protect their financial well-being. Industry: Insurance & Financial Services
Genworth Financial currently has
16 open roles
on FindRole.
Listed pay typically runs
$115,900–$115,900
across 7 roles with salary data.
Remote (Us, Minnesota, Maplewood, US)20 days ago
$164,612–$201,193
Python
Bayesian optimization
Design of Experiments (DoE)
surrogate modeling
multi-fidelity methods
active learning
LLM tooling
R
statistical libraries
industrial automation
lab data systems
vision systems
instrumented test environments
cloud services
AI capabilities