Senior Data Scientist

Role Description

As a Senior Data Scientist, you will play a key role in solving complex business challenges through advanced analytics and machine learning. You will partner with cross-functional stakeholders across claims, underwriting, actuarial, and other business areas to transform large, complex datasets into actionable insights that drive business decisions.

You will develop, deploy, validate, and optimize predictive models while ensuring data quality, regulatory compliance, and reproducible analytical processes. You will also create impactful visualizations and communicate technical findings to a variety of audiences, while helping advance innovative data science capabilities throughout the organization.

Qualifications

• Education: Master's degree required in Statistics, Mathematics, Actuarial Science, Computer Science, or another quantitative field.

• Required Qualifications:

  • 6 or more years of experience as a Data Scientist with a focus on machine learning and predictive modeling.
  • Strong proficiency with Python or R and relevant machine learning libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
  • Strong understanding of statistical modeling, machine learning techniques, and risk assessment within an insurance environment.
  • Extensive experience working with relational databases (such as Microsoft SQL Server) and cloud-based data warehouses (such as Snowflake).
  • Advanced SQL skills for data retrieval, transformation, and analysis.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.

• Preferred Qualifications:

  • Experience with generative AI solutions and integrating them into workflows to improve operational efficiency and solve business problems.
  • Familiarity with insurance-specific data sources, regulatory requirements, and industry standards.
  • Knowledge of database design principles to create efficient and scalable data structures.

Benefits

We offer a comprehensive total rewards package including:

• Compensation that includes base salary, holiday bonus, and incentive awards.

• Health, dental, and vision coverage, health savings accounts, a 401(k)-retirement savings match, and an annual profit sharing contribution.

• Family forming benefits for adoption, fertility, and surrogacy, generous paid time off and paid holidays, paid parental and caregiver leave, a hybrid work environment, and company-paid life insurance and disability.

• Professional growth and development opportunities in addition to employee recognition and well-being programs.

Our target base salary range for this position is $116,500 to $150,500. Compensation for the successful candidate will consider the candidate’s particular combination of knowledge, skills, competencies, experience and geographic location.