Data Scientist I — Impactful Analytics with Flexible Work

COMFORT SYSTEMS; Annapolis (MD); On-site; USD 61,000 - 123,000; Full time

Benefits offered by this job

Health benefits

Vision & Dental

PTO + Volunteer time

401(k) with employer match

Mental health support

Flexible work environment

Job summary

Unum seeks a developing data scientist to transform data into actionable business insights. The role emphasizes programming, applied statistics, and business knowledge, with project work under a manager’s guidance.

The individual will expand business understanding while applying analytical methods to support assigned projects. Responsibilities include building analytical solutions, data integration across DB2/SQL Server/Teradata, and developing predictive models.

Qualifications

• Bachelor’s degree in quantitative field preferred.
• 2 years preferred or equivalent experience.
• Core data science capabilities with strong emphasis on at least one area and working knowledge in others.
• ETL skills: write complex SQL queries joining multiple tables/databases.

Responsibilities

• Design analytical solutions using statistical, optimization, simulation and data mining methods to deliver actionable insights.
• Integrate data from multiple sources (DB2, SQL Server, Web API, Teradata) to create data assets.
• Develop predictive models using machine learning to forecast behavior or identify risk.
• Interpret results and communicate potential value to management.
• Support automation and integration of solutions within existing processes.

Skills

APIs & Automation

SQL & Data Modeling

Data Visualization

Statistics & Modeling

Machine Learning Basics

ETL & Data Wrangling

Communication Skills

Financial Services Domain

Education

Bachelor’s degree in quantitative field

Tools

DB2

SQL Server

Teradata

Web API

Job description

Unum seeks a developing data scientist to transform data into actionable business insights. The role emphasizes programming, applied statistics, and business knowledge, with project work under a manager’s guidance.

The individual will expand business understanding while applying analytical methods to support assigned projects. Responsibilities include building analytical solutions, data integration across DB2/SQL Server/Teradata, and developing predictive models.