Senior Data Scientist

Safety National•Saint Louis, MO

15d•Hybrid

About The Position

This opportunity is in the Advanced Analytics department. Our Data Analytics department seeks those passionate about using data to tell business stories, inform decision making and solve business problems. If you are a curious professional with education or experience in data science, statistics, and machine learning, this is an excellent opportunity to be part of a highly impactful, innovative and diverse team. 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. In this role, 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.

Requirements

Master's degree required in Statistics, Mathematics, Actuarial Science, Computer Science, or another quantitative field.
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.
Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future.

Nice To Haves

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.
Protect the confidentiality, integrity and availability of information and technology assets against unauthorized disclosure, destruction and/or alteration, in accordance with Safety National policies, standards, and procedures.

Responsibilities

Develop, deploy, validate, and optimize predictive models.
Ensure data quality, regulatory compliance, and reproducible analytical processes.
Create impactful visualizations and communicate technical findings to a variety of audiences.
Help advance innovative data science capabilities throughout the organization.
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.