Data Scientist, Mid

Role Overview

As a data scientist, you’ll use leadership skills and data science expertise to create real-world impact, working closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle.

What You Will Do

You’ll guide teammates and lead the development of algorithms and systems, using the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions.

Why It Might Be a Fit

You’ll provide a deep understanding of the data, what it all means, and how it can be used, working with clients across private and public sectors from fraud detection to cancer research, to national intelligence.

Requirements

• 2+ 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 Tableau, Power BI, or ArcGIS
• TS /SCI clearance
• Bachelor’s degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree

Benefits

• Health benefits
• Life benefits
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care