Data Scientist
About The Position
As a Data Scientist, you will work in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight while translating mission needs into an end-to-end analytical approach to achieve results. Your role involves performing pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval. You will determine appropriate analytics based on data and desired outcomes using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence. You'll interpret the validity of results and communicate the meaning of those results while following a scientific approach to generate value from data, verifying results at each step. This role is contingent on contract award.
Requirements
- U.S. citizenship
- All work must be conducted within the continental U.S.
- Bachelor's degree with 2+ years of related experience or Master's degree (Associate level)
- Bachelor's degree with 5+ years of related experience, Master's degree with 3+ years of experience, or PhD (Standard level)
- Bachelor's degree with 9+ years of related experience, Master's degree with 7+ years of experience, or PhD with 4+ years of experience (Senior level)
- Experience with data wrangling, analytics, visualization software and programming languages, analytics methods for big data, machine learning, natural language processing, statistical analysis, and data mining techniques
- Active Top Secret clearance with ability to obtain and maintain SCI
Nice To Haves
- Advanced degrees in data science, statistics, or related fields
- Experience with big data platforms and tools
- Knowledge of scientific research methodologies and result validation techniques
Responsibilities
- Work in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight
- Translate mission needs into an end-to-end analytical approach to achieve results
- Perform pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval
- Determine appropriate analytics based on data and desired outcomes using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence
- Interpret the validity of results and communicate the meaning of those results
- Follow a scientific approach to generate value from data, verifying results at each step
Benefits
- Highly competitive salary
- Fully covered healthcare, dental, and vision coverage
- 401(k) and company match
- Take as you need PTO + 11 paid holidays
- Education & training benefits
- Generous Referral Bonuses
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
101-250 employees
