Data Scientist I - Turn Data into Business Impact

COMFORT SYSTEMS; Nashville (TN); On-site; USD 61,000 - 123,000; Full time

Benefits offered by this job

Health, Vision, Dental

Short & Long-Term Disability

401(k) employer match

Generous PTO

Tuition reimbursement

Flexible work environments

Job summary

Unum is seeking a developing data scientist to transform data into actionable insights and drive business value. The role emphasizes programming, statistics, and data manipulation with increasing business knowledge and initiative.

Responsibilities include designing analytical solutions, integrating large data sets, building predictive models, and communicating findings to leadership. This position offers a competitive salary and a broad benefits package within a global employee benefits

Qualifications

• Bachelor’s degree in a quantitative field preferred.
• 2 years of professional experience or equivalent work experience.
• Core data science capabilities with practical skills in programming, data visualization, statistics, and ETL.
• Ability to build predictive models and communicate results to stakeholders.
• Experience with data extraction, transformation, and loading (ETL) and complex SQL queries.

Responsibilities

• Design and execute analytical solutions to deliver actionable business insights.
• Integrate data from multiple sources (DB2, SQL Server, Web API, Teradata).
• Construct predictive models and interpret results for business impact.
• Support integration of solutions within existing processes using automation.

Skills

Programming & automation

Data Visualization

Statistics & modeling

ETL & SQL

Core business capabilities

Leadership capabilities

Entrepreneurial mindset

Education

Bachelor’s degree in quantitative field

Tools

SQL

Jupyter notebooks

Statistical packages

Job description

Unum is seeking a developing data scientist to transform data into actionable insights and drive business value. The role emphasizes programming, statistics, and data manipulation with increasing business knowledge and initiative.

Responsibilities include designing analytical solutions, integrating large data sets, building predictive models, and communicating findings to leadership. This position offers a competitive salary and a broad benefits package within a global employee benefits