Palantir Data Scientist

Booz Allen Hamilton • Springfield, VA

1d

About The Position

As a Data Scientist on Booz Allen’s national security team, you will use data science and Palantir platforms to address high-impact, mission-critical problems. You will work with engineers, analysts, and mission stakeholders to transform varied and often siloed data into actionable intelligence. In close partnership with clients, you will understand their questions and needs, explore data-rich environments, interpret information, and advise on how insights can inform the use of national, commercial, and emerging assets.

Requirements

• At least 2 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• Experience with statistical and general-purpose programming languages for data analysis, such as Python or R.
• Experience analyzing structured and unstructured data sources.
• Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Experience leading the development of solutions to complex programs.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelor’s degree.

Nice To Haves

• At least 2 years of experience with SQL.
• Experience designing, producing, and implementing a federated approach for end-to-end GEOINT collection performance metrics that ensure continuity, consistency, agreement, transparency, and awareness.
• Experience working with structured and unstructured data in mission environments.
• Experience deploying data workflows and models within platforms such as Palantir Foundry or Gotham.
• Experience building dashboards and visualizations using Foundry or Power BI.
• Experience developing algorithms using SQL or NoSQL, R, or Python.
• Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• TS/SCI clearance with a polygraph.

Responsibilities

• Explore, clean, analyze, visualize, and mine data.
• Analyze structured and unstructured data sources.
• Develop predictive data models, quantitative analyses, and visualizations for targeted data sources.
• Lead the development of solutions to complex programs.
• Work with clients to understand their questions and needs, interpret data, and advise how insights can support mission objectives.
• Transform varied and often siloed data into actionable intelligence.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

What This Job Offers

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