Data Scientist
GRVTY•McLean, VA
•$150,000 - $250,000•Onsite
About The Position
GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance to join one of our top projects in McLean, VA. This role involves supporting a major technology program within the Intel Community, where GRVTY has a strong track record of success. The Data Scientist will apply analytic judgment to data, manipulate high-volume structured and unstructured data, and generate mission-relevant analytic reporting. The position also requires performing large-scale parallel processing of data and developing methodologies in Clustered Computing environments.
Requirements
- Active TS/SCI with Polygraph Clearance
- Demonstrated experience with ECL and HPCC (5 years minimum in ECL)
- Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for this Sponsor across a spectrum of mission spaces
- Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate sound mission relevant analytic reporting/products.
- Demonstrated experience using computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of the sponsors data.
- Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments
- Demonstrated experience with data modeling.
Nice To Haves
- Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.
Responsibilities
- Applying analytic judgment to data presented for technical targeting analytic support.
- Manipulating high-volume structured and unstructured data to perform analysis.
- Generating sound mission-relevant analytic reporting/products.
- Performing large scale parallel processing of data using computer languages (e.g., Python, C, SQL).
- Developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.
- Performing data modeling.
Benefits
- Competitive pay
- Comprehensive benefits
- Meaningful opportunities for professional growth
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
- 401k with generous company match
- Training and Development Opportunities
- Award Programs
- Variety of Company Sponsored Events
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
