Data Scientist I: Build Insights & Predictive Models

Unum; United States; Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Award-winning culture

Inclusion and diversity as a priority

Performance-based incentive plans

Health benefits (Medical, Vision, and

Dental benefits

Job summary

Unum seeks a developing data scientist to transform data into actionable business insights, advancing technical skills in programming, statistics, and data manipulation. The role emphasizes building business knowledge and applying analytical methods on projects with guidance from a manager.

The position involves designing analytical solutions, integrating diverse data sources, and developing modeling-ready datasets to support client outcomes and strategic decisions.

Qualifications

• Bachelor's degree in quantitative field preferred.
• 2 years of professional experience or equivalent relevant work experience.

Responsibilities

• Design and execute analytical solutions using statistical, optimization, simulation and data mining methods to deliver actionable insights.
• Integrate large data volumes from DB2, SQL Server, Web API and Teradata to create data assets.
• Apply validation, aggregation and reconciliation techniques for modeling-ready data.
• Construct predictive models using machine learning to forecast behavior or identify risk.
• Interpret results and communicate findings to stakeholders.
• Support integration of solutions within existing business processes using automation.
• Understand theory and application of current statistical methods and tools.
• Perform other duties as assigned.

Skills

Programming & Automation

Data Visualization

Statistics

ETL

Education

Bachelor's degree in quantitative field

Job description

Unum seeks a developing data scientist to transform data into actionable business insights, advancing technical skills in programming, statistics, and data manipulation. The role emphasizes building business knowledge and applying analytical methods on projects with guidance from a manager.

The position involves designing analytical solutions, integrating diverse data sources, and developing modeling-ready datasets to support client outcomes and strategic decisions.