Data Scientist, Senior

Booz Allen Hamilton; Washington; Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking a Senior Data Scientist to unlock insights from large data sets across IoT, ML, and AI domains. You will lead data-science efforts, work with clients to define questions, and guide the development of algorithms and analytics systems that convert data into actionable answers.

The role emphasizes leadership of teams, collaboration with clients, and delivering impact across private and public sectors, including national intelligence and fraud detection.

Qualifications

• 7+ years of experience with data science in Python or R.
• Experience building ETL pipelines and data schemas.
• Proficient with Git-based version control tools.
• Strong background in statistics, predictive modeling, and ML.
• Able to design automated analytic software and integrate OSS/COTS.
• Ability to generate data visualizations with Kibana/Tableau/Power BI.
• Hold an active TS/SCI clearance; willing to polygraph test.
• Bachelor's degree required.

Responsibilities

• Lead data science projects and guide teammates.
• Collaborate with clients to define questions and deliver insights.
• Develop algorithms and analytics systems for real-world use.

Skills

Python

R

ETL pipelines

Git/GitLab/GitHub/Bitbucket

Statistics/Predictive modeling/ML

Automated analytic software

OSS/COTS integration

Data visualization (Kibana/Tableau/PSI

Education

Bachelor's degree

Tools

Kibana

Tableau

Power BI

Job description

Data Scientist, Senior

The Opportunity:

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.

On our team, 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 and 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. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

You Have:

• 7+ years of experience using data science programming languages such as Python or R
• Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
• Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket
• Knowledge of statistical analysis, predictive modeling, and machine learning methods
• Ability to design and develop automated analytic software, techniques, and algorithms
• Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
• Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree

Nice If You Have:

• Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines
• Experience with intelligence or operations analysis in the DoD or Intelligence Community
• Experience developing and implementing ontological frameworks
• Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• Experience working with Deep Learning and AI frameworks, including PyTorch, TensorFlow, and Keras
• Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs)
• Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Knowledge of DevOps, including CI/CD pipelines and Jenkins

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

• Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.