Data Scientist, Senior

About the Role

As a data scientist at Booz Allen, you can help turn complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems, using the right combination of tools and frameworks to turn disparate data points into objective answers. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Responsibilities

• Lead data exploration, cleaning, analysis, visualization, and mining efforts.
• Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Analyze structured and unstructured data sources.
• Guide teammates and lead the development of algorithms and systems.
• Work with distributed or big data ecosystems such as Spark, Databricks, ElasticSearch, or NiFi.
• Apply knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.

Requirements

• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• 5+ years of experience with statistical and general-purpose programming languages for data analysis.
• 5+ years of experience programming in languages such as Python, R, SQL, SAS, or MATLAB.
• Experience analyzing structured and unstructured data sources.
• Experience developing predictive data models and quantitative analyses.
• Experience with distributed or big data ecosystems such as Spark, Databricks, ElasticSearch, or NiFi.
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
• Secret clearance (applicants selected will be subject to a security investigation).
• Bachelor’s degree.

Nice-to-Have Qualifications

• Experience working with ADVANA, including enterprise data integration, curated layers, and mission-centric dashboards.
• Experience with the Maven Smart System (MSS), including analytics for C2 operations, geospatial workflows, AI/ML integration, or FMV/imagery pipelines.
• Experience developing analytics or data applications in Palantir Foundry or Gotham, especially within DoD environments.
• Experience with data sources related to meteorology, oceanography, and environmental intelligence.
• Experience supporting Combatant Commands or other operational DoD customers.
• Experience deploying analytic or ML workflows in multi-classification or secure cloud environments.
• Experience with enterprise BI or visualization tools such as Tableau, Power BI, or Qlik.
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2.

Benefits

Booz Allen offers health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

Pay

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). Salary is determined by various factors, including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements.

Schedule

This posting will close within 90 days from the posting date. Work models include:

• Remote: Primarily virtual, with occasional in-person work at a Booz Allen or customer facility.
• Hybrid: Frequent work from a Booz Allen facility, with potential visits to customer facilities as needed.
• Onsite: Work primarily performed at a Booz Allen office or customer facility, collaborating directly with colleagues and customers.