Data Scientist - FS Poly Chantilly, VA

Stanley Reid & Company; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

8% 401k contribution

Training budget

5 days PTO for training

Family-oriented culture

Job summary

Stanley Reid & Company in the Washington, DC area is seeking a Data Scientist to join our mission-focused team in Chantilly, VA. The role requires TS/SCI with FS Polygraph and a strong background in Python, SQL, and data analytics.

You will work on advanced analytics, real-time data pipelines, and predictive models to support government and commercial clients. The firm offers competitive salaries, an 8% 401k match, a generous training budget of $5K, and a family-friendly environment.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, or similar.
• 16+ years of professional experience
• Experience with Python
• Experience with SQL
• Experience with Tableau
• Experience with network architecture and risk assessments

Skills

Python

SQL

Education

Bachelor's Degree in Computer Science, Data Science, or similar

Tools

Tableau

Job description

Our client is a woman-owned firm that specializes in custom Software Development, Big Data Analytics, Data Science, and Cloud Computing for both government and commercial customers. They provide cloud solutions utilizing technologies such as Spark, AWS, Azure, Cloudera, Kubernetes, and Google Cloud and offer real-time analytics with Spark Streaming and Tensorflow. The culture here is focused on creativity, collaboration, continuous learning, and getting results to further the mission. They offer excellent salaries, an 8% 401k contribution, and a great training budget ($5K and an additional 5 days PTO just for training) all with a family-oriented feel. If you have a Full-Scope Polygraph clearance in Maryland or Virginia, it's time to find out if our client is the right fit for you.

They are seeking a Data Scientist to join their team.

The work is located in Chantilly, VA and requires a TS/SCI + FS Polygraph.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, or similar (or additional experience)
• 16+ years of professional experience
• Experience with Python
• Experience with SQL
• Experience with Tableau
• Experience with network architecture and risk assessments