Senior Data Scientist — ML & Data Pipeline Architect

GRVTY; Falls Church (VA); On-site; USD 160,000 - 190,000; Full time

Benefits offered by this job

Robust health plan including medical, dental, and vision

Health Savings Account with company contribution

Annual Paid Time Off and Paid Holidays

401(k) with generous company match

Training and Development Opportunities

Variety of Company Sponsored Events

Job summary

GRVTY is looking for a motivated Data Scientist in Falls Church, VA to analyze data using statistical methods and support Machine Learning initiatives. The ideal candidate will integrate new data types into workflows and lead projects to enhance operational efficiency.

Experience with Python, SQL, and a TS/SCI Clearance are essential. This role offers a competitive salary range of $160,000 – $190,000 USD and includes robust health benefits, 401(k) matching, and ample opportunities for training and development.

Qualifications

• 3+ years of experience in quantitative analysis and data operations.
• Experience with AI/ML technologies and data systems.
• Active TS/SCI Clearance with ability to obtain CI/Poly.

Responsibilities

• Integrate emerging sensors and platforms into data pipelines.
• Evaluate and recommend solutions for data partitioning.
• Lead projects using advanced analytical techniques.

Skills

Data analysis

Statistical methods

Machine Learning

Python

SQL

NLP

Education

3+ years of quantitative analysis experience

Active TS/SCI Clearance

Tools

SQL databases

NoSQL databases

GeoSpatial formats

JSON and XML formats

Job description

GRVTY is looking for a motivated Data Scientist in Falls Church, VA to analyze data using statistical methods and support Machine Learning initiatives. The ideal candidate will integrate new data types into workflows and lead projects to enhance operational efficiency.

Experience with Python, SQL, and a TS/SCI Clearance are essential. This role offers a competitive salary range of $160,000 – $190,000 USD and includes robust health benefits, 401(k) matching, and ample opportunities for training and development.