Data Scientist, Mid

Booz Allen Hamilton • Washington, DC

1d • $77,600 - $176,000 • Onsite

About The Position

Booz Allen is seeking a mid-level Data Scientist to help clients use complex structured and unstructured data to address challenges across public and private sectors. The role involves understanding client questions and needs, exploring data-rich environments, and turning disparate data into useful information to support informed decisions.

The Data Scientist will apply data science expertise and leadership to guide teammates and lead the development of algorithms and systems, using appropriate tools and frameworks. The position focuses on statistical analysis, predictive modeling, machine learning, data transformation, and visualization. The role is located in Washington, DC, and is not listed as remote. An active TS/SCI clearance is required, with willingness to take a polygraph exam.

Requirements

• At least 2 years of experience using data science programming languages such as Python or R.
• Experience with version control tools such as Git, GitLab, GitHub, or Bitbucket.
• Experience querying, cleaning, and transforming data from relational databases using SQL and APIs.
• Ability to perform statistical analysis, predictive modeling, and machine learning.
• Ability to generate data visualizations using tools such as Tableau, Power BI, or ArcGIS.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelor’s degree and at least 3 years of experience in data science, analytics, or engineering, or at least 7 years of experience in data science, analytics, or engineering in lieu of a degree.

Nice To Haves

• Experience with intelligence or operations analysis in the Department of War or Intelligence Community.
• Experience developing and training Natural Language Processing (NLP) models.
• Excellent written and verbal communication skills.
• TS/SCI clearance with a polygraph.

Responsibilities

• Work with clients to understand their questions and needs.
• Analyze data-rich environments to identify relevant information and answer client questions.
• Guide teammates and lead the development of algorithms and systems.
• Use tools and frameworks to turn disparate data points into objective answers that support client decisions.
• Provide a clear understanding of 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 demonstration of company values.

What This Job Offers

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