Booz Allen Hamilton is seeking a mid level Data Scientist for an onsite role in Washington, DC, applying data science, ML/AI, and data engineering to transform data into actionable insights and lead algorithm development for a diverse set of clients.
Responsibilities
- Lead the design and deployment of algorithms and supporting data systems.
- Collaborate with clients to clarify questions, explore data environments, and pinpoint information gaps.
- Coach teammates and drive data science projects from concept to delivery.
- Choose appropriate tools and frameworks to convert scattered data points into objective answers that guide client decisions.
- Build a deep understanding of data, its meaning, and potential uses for decision making.
- Apply leadership and technical expertise to deliver real-world impact.
Requirements
- 5+ years of experience with data science programming languages such as Python or R.
- Proven ability to design ETL pipelines, including API queries, data cleaning, conditioning, and storage schemas.
- Experience with version control tools such as Git, GitLab, GitHub, or Bitbucket.
- Strong foundation in statistical analysis, predictive modeling, and machine learning methods.
- Ability to design and develop automated analytic software, techniques, and algorithms.
- Experience integrating and extending free and open source software or commercial off the shelf products.
- Skill in generating data visualizations with Kibana, Tableau, or Power BI.
- Active TS/SCI clearance with willingness to undergo a polygraph examination.
- Bachelor’s degree.
Technologies
- Python, R
- Git, GitLab, GitHub, Bitbucket
- Kibana, Tableau, Power BI
- PyTorch, TensorFlow, Keras
- MapReduce, Hadoop, Hive, EMR
- Kafka, Spark
- Gurobi, MySQL, SQL, NoSQL
- Plotly, Seaborn, ggplot2
- Jenkins
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work life programs
- Dependent care
Nice If You Have
- Experience with GEOINT, HUMINT, MASINT, OSINT, and SIGINT data and related tools
- Background in intelligence or operations analysis within the DoD or Intelligence Community
- Experience developing ontological frameworks
- Experience building algorithms with R, Python, SQL, and NoSQL
- Background in Deep Learning and AI frameworks such as PyTorch, TensorFlow, and Keras
- Experience with Retrieval Augmented Generation and Large Language Models
- Experience with distributed data and computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL)
- Visualization skills with Plotly, Seaborn, or ggplot2
- Knowledge of DevOps practices including CI/CD pipelines and Jenkins
Clearance
Applicants may be subject to a security investigation; possession of TS/SCI clearance is required.
Compensation
Projected salary range is 77,600 to 176,000 USD per year. Final compensation depends on location, education, experience, and contract-specific requirements.
Identity Verification
As part of the hiring process, candidates undergo an identity verification process using biometrics and AI to validate authenticity. Interviews and assessments may require on camera presence, and Booz Allen may capture a photo to verify identity and prevent fraud.
Candidate AI Usage Policy
AI tools may be used in day-to-day work, but candidates must rely on their own skills during interviews unless explicit permission is granted.
Work Model
Onsite work at Booz Allen or a client facility, with potential in-person requirements based on role needs.
Commitment to Non-Discrimination
All qualified applicants will receive consideration without regard to disability, veteran status, or any other protected characteristic under applicable law.
