Help turn complex data sets into useful information to solve global challenges
Use analytical skills to create real-world impact
Work closely with clients to understand their questions and needs
Dig into data-rich environments to find pieces of information puzzles
Work with and learn from teammates to develop algorithms and systems
Use the right combination of tools and frameworks to turn data points into answers for informed decisions
Provide a deep understanding of the data and its applications

Requirements

Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining
Experience with statistical and general-purpose programming languages for data analysis such as Python, R, or SQL
Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
Knowledge of version control tools, including Git, GitLab, GitHub, or Bitbucket
Knowledge of statistical analysis, predictive modeling, and machine learning methods
Ability to design and develop automated analytic software, techniques, and algorithms
Ability to use data visualization tools, including COTS software such as Tableau, Power BI, or ArcGIS, or FOSS libraries such as seaborn, matplotlib, or ggplot
TS / SCI clearance
Bachelor's degree

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data explorationdata cleaningdata analysisdata visualizationdata sciencedata miningPythonRSQLETL pipelines

Soft Skills

analytical skillsclient communicationteam collaborationproblem-solvingalgorithm development

Certifications

TS / SCI clearance