Data Scientist 3
About The Position
GRVTY is seeking experienced Data Scientists to perform tasks associated with Big Data Platform management, use programming skills, develop prototype algorithms and refine algorithms, and support data visualization and analytics. The role requires relevant experience across data science, machine learning, advanced analytics, programming, and related areas. Experience in more than five of the listed areas is strongly preferred. The position requires an active TS/SCI clearance with polygraph and a qualifying degree and level of relevant experience. Compensation is $114,000–$144,000. GRVTY describes its work as supporting national security challenges and offers competitive pay, benefits, and opportunities for professional growth.
Requirements
- Active TS/SCI clearance with polygraph.
- Bachelor’s degree and 10 years of relevant experience, or an Associate’s degree and 12 years of experience may be considered for individuals with in-depth experience clearly related to the position.
- Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A related field, physical/hard science, or another science discipline with a substantial computational component may be considered if coursework includes a concentration in advanced mathematics and/or computer science.
- Relevant experience in designing or implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, data science supporting one or more domain areas, and/or software engineering.
Nice To Haves
- Experience in more than five of the listed relevant areas is strongly preferred.
Responsibilities
- Perform tasks associated with Big Data Platform management.
- Use programming languages and skills.
- Develop prototype algorithms and refine algorithms.
- Support data visualization and analytics.
- Apply relevant expertise in areas such as machine learning, data science, advanced analytics, programming, data mining, statistics, mathematics, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, domain-area support, and software engineering.
Benefits
- Medical, dental, and vision coverage
- Health Savings Account with company contribution
- Annual paid time off
- Paid holidays
- Paid parental leave
- 401(k) with company match
- Training and development opportunities
- Award programs
- Company-sponsored events
- Healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
