Help turn complex data sets into useful information to solve global challenges
Work closely with clients to understand their questions and needs
Dig into data-rich environments to find the pieces of their information puzzle
Guide teammates and lead the development of algorithms and systems
Use the right combination of tools and frameworks to turn disparate data points into objective answers
Provide a deep understanding of the data, what it all means, and how it can be used

Requirements

5+ years of experience using data science programming languages, such as Python or R
Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
Experience with 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 develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
Ability to generate data visualizations with tools, such as Kibana, Tableau, or Power BI
TS/SCI clearance
Bachelor’s degree and 5+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree

Benefits

health, life, disability, financial, and retirement benefits
paid leave
professional development
tuition assistance
work-life programs
dependent care
recognition awards program

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonRETL pipelinesstatistical analysispredictive modelingmachine learningautomated analytic softwaredata visualizationalgorithmsdata cleaning

Soft Skills

client communicationteam leadershipproblem-solvinganalytical thinkingcollaborationadaptabilityattention to detailcritical thinkingcreativitytime management

Certifications

TS/SCI clearanceBachelor's degree in data science