Data Scientist

Bridge Defense•Washington, DC

18d•$120,000 - $135,000•Onsite

About The Position

The Data Scientist will conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. They will use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions. The role involves proactively retrieving information from various sources, analyzing it for better understanding, and building AI tools to automate certain processes. Duties include creating ML-based tools like recommendation engines or automated lead scoring systems, performing statistical analysis, applying data mining techniques, and building high-quality prediction systems. Proficiency in data visualization using tools like Microsoft Office (Power BI) and Tableau, major data science languages (R and Python), managing and merging disparate data sources (R, Python, or SQL), statistical analysis, and data mining algorithms is expected. Prior experience with large data Multi-INT analytics, ML, and automated predictive analytics is required.

Requirements

Bachelor’s degree + 8 years of experience or 12 years of experience in lieu of a degree
3+ years of experience with major data science languages, such as Python and R
3+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, and/or SQL
Experience with database design and administration in DBMS such as SQL Server, PostgreSQL, etc.
Experience with data analytics, data mining, statistical analysis, or AI/ML

Nice To Haves

Experience with data visualization software, such as Tableau and PowerBI
Experience conducting data architecture and ETL for the DoD or a federal agency
Familiarity with HUMINT
Knowledge of DevOps tools and technologies, including git, Jenkins, SonarQube, etc.

Responsibilities

Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis.
Uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
Creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
Have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.