Data Scientist, Mid

Booz Allen Hamilton • Arlington, VA

7d

About The Position

As a Data Scientist at Booz Allen, you will analyze complex, structured and unstructured data to help clients solve challenges across private and public sectors. You will work closely with clients to understand their questions and needs, explore data-rich environments, and develop algorithms and systems with teammates. You will use appropriate tools and frameworks to transform disparate data into objective answers that support informed decisions, and explain what the data means and how it can be used.

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, SQL, AWS, or HTML.
• Knowledge of statistical analysis, predictive modeling, and machine learning methods.
• Ability to design and develop automated analytic software, techniques, and algorithms.
• TS/SCI clearance with a polygraph is required.
• Bachelor's degree and 3+ years of experience with data science, or 7+ years of experience with data science in lieu of a degree.

Nice To Haves

• Experience with intelligence or operations analysis in the DoD or Intelligence Community.
• Experience working in a Joint Staff environment.
• 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 DevOps, including CI/CD pipelines and Jenkins.
• 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.

Responsibilities

• Work with clients to understand their questions and needs.
• Explore and analyze client data to identify useful information and insights.
• Develop algorithms, systems, and automated analytic software, techniques, and algorithms.
• Use tools and frameworks to turn disparate data into objective answers that support client decisions.
• Provide an understanding of the data, its meaning, and potential uses.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and superior demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level