Data Scientist, Senior

Data Scientist, Senior
The Opportunity
As a senior analytics professional, you will lead analytic development, guide multi-disciplinary teams, and shape the data strategy behind mission modernization. Working and leading other data scientist, you will architect end-to-end analytic workflows-data engineering, modeling, validation, cloud deployment-and translate mission needs into executable technical solutions.

You'll design models that quantify system behavior, integrate multi-INT and geospatial datasets, and implement AI / ML solutions optimized for real-time operational use. You will ingest APIs, building statistical baselines and identifying deviations. You will oversee and provide techniques in the use of tools such as SQL, Python, Excel, FADE / MIST, and Jema. You will partner with agencies and teams to ensure analytic outputs match mission timelines and technical rigor, consistent with the advanced expectations for senior data scientists.

You will also contribute to technical approaches and modernization roadmaps that tie directly into mission requirements.

Join us. The world can't wait.

You Have

• Experience in data science, machine learning, or large-scale distributed analytics
• Experience with geospatial analytics, multi-INT fusion, or space-system data integration
• Experience developing, validating, and operationalizing AI / ML models, such as Tensor Flow, PyTorch, and Scikit-learn
• Experience with distributed compute frameworks, such as Databricks and Spark, for high-volume mission data
• Experience integrating models into production or mission-critical workflows, including real-time analytics
• Experience with cloud-native AI / ML platforms such as AWS Sage Maker and Azure ML
• Ability to lead analytic teams and mentor junior analysts or data scientists
• Ability to define analytic CONOPs, translate mission objectives into model requirements, and drive technical execution, and contribute to or lead WBS, RACI, BOE inputs, and enterprise-level technical approaches
• Active TS/SCI clearance; willingness to take a polygraph exam
• HS diploma or GED

Nice If You Have

• Experience leading IC or DoD analytics for CCMDs or related mission partners
• Experience designing or governing enterprise-level data architectures, catalogs, or met adata frameworks
• Experience with operator-facing systems such as JEMA, FADE / MIST, or mission-system modeling tools
• Experience developing modeling strategies for MTI, ISR, EW, or space-domain mission data
• TS/SCI clearance with a polygraph
• Google Professional Machine Learning Engineer Certification
• Azure Data Scientist Asso cia te Certification
• AWS Certified Machine Learning - Spe cia lty Certification
• Tensor Flow Developer Certification

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 $77,600.00 to $ (annualized USD). The estimate displayed represents the typical salary range for this…