Data Science Lead: Personnel Health Analytics

Fors Marsh Group; Alexandria (VA); Hybrid; USD 100,000 - 110,000; Full time

Benefits offered by this job

100% health, dental, vision coverage

Commuter benefits

Generous matching retirement contributions

Job summary

Fors Marsh Group, located in Alexandria, VA, is seeking a Data Science Lead for Personnel Health Research & Data Analytics. This individual will oversee data science projects, lead a team, and engage with clients to ensure deliverables align with goals.

The ideal candidate should hold a Master's or PhD in a quantitative social science and possess substantial experience in data science, advanced analytics, and project management. The position offers a hybrid work schedule, with expectations for on-site work in Washington D.C. 2-3 days per week.

Qualifications

• Master’s degree required; PhD preferred in a heavily quantitative social science or data science.
• A minimum of four years of post-graduate applied research experience.
• Experience managing multiple concurrent work streams and overseeing tasks.

Responsibilities

• Apply sophisticated principles in data science and quantitative social science to projects.
• Oversee a large project including planning, resourcing, and deliverables.
• Develop strong relationships with clients and ensure satisfaction with project deliverables.

Skills

Machine learning

Data wrangling

Data management

Advanced quantitative analysis

Text analysis

Automation

Artificial intelligence

R

Python

SQL

Education

Master’s degree in quantitative social science or data science

Tools

Databricks

Gitlab

Job description

Fors Marsh Group, located in Alexandria, VA, is seeking a Data Science Lead for Personnel Health Research & Data Analytics. This individual will oversee data science projects, lead a team, and engage with clients to ensure deliverables align with goals.

The ideal candidate should hold a Master's or PhD in a quantitative social science and possess substantial experience in data science, advanced analytics, and project management. The position offers a hybrid work schedule, with expectations for on-site work in Washington D.C. 2-3 days per week.