{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Scientist”, “description”: “
Responsibilities
- Process, store, and exploit publicly available information (PAI) and commercially available information (CAI) to support data‑driven decision making.
- Conduct exploratory data analysis, perform large‑scale data queries, and build scalable ETL pipelines using Python, Spark, Synapse, and Neo4j in an Azure cloud environment.
- Develop and implement machine learning models and automated analytics across multi‑source datasets.
- Clean, organize, integrate, and maintain data models; develop dynamic visualizations, dashboards, and reports that communicate findings to technical and non‑technical stakeholders.
- Collaborate with military personnel, partner nations, policy makers, and cross‑functional teams to identify data needs, translate requirements into analytical solutions, and deliver fused intelligence products.
- Document analytic methodologies, balance accuracy with operational timelines, and provide briefings, presentations, and decision‑support materials.
- Conduct customer outreach, track stakeholder satisfaction, and contribute to reporting and accountability mechanisms.
Qualifications
- 4+ years of experience in data engineering, including ETL development, data modeling, data integration, and geospatial datasets.
- 4+ years of experience using big data technologies such as Spark, Elastic or Snowflake.
- Experience with programming languages such as Python.
- Experience working within the IC and DoD joint environment.
- Knowledge of automation, artificial intelligence (AI) and machine learning (ML) techniques.
- Ability to manage multiple projects on tight deadlines while clearly conveying technical concepts to non‑technical audiences.
- Ability to work collaboratively across teams to achieve objectives and translate stakeholder needs into actionable solutions.
- TS/SCI clearance.
- HS diploma and 8+ years of experience in mathematics, statistics, or data science, or an associate’s degree in Mathematics, Statistics, Engineering, or Data Science and 4+ years of experience in mathematics, statistics, or data science.
Nice to Have
- Experience with intelligence oversight policies and data governance standards.
- Experience with cloud‑based data solutions in the Azure ecosystem.
- Experience with graph databases such as Neo4j or Cosmos DB.
- Experience with natural language processing (NLP) and automated analytics.
- Experience implementing ML or AI solutions.
- Excellent analytical skills for querying and interpreting large data sets.
- Excellent verbal and written communication skills.
- Excellent organizational and client‑facing skills.
- Bachelor’s degree in Mathematics, Statistics, Engineering, or Data Science.
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
Projected compensation range for this position is $99,000.00 to $225,000.00 annually (USD). Salary is determined by location, education, skills, and experience.
EEO Statement
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.
#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Booz Allen Hamilton”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__436845477__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “” } } }Company: Booz Allen Hamilton
Location:
Job Description:
Responsibilities
- Process, store, and exploit publicly available information (PAI) and commercially available information (CAI) to support data‑driven decision making.
- Conduct exploratory data analysis, perform large‑scale data queries, and build scalable ETL pipelines using Python, Spark, Synapse, and Neo4j in an Azure cloud environment.
- Develop and implement machine learning models and automated analytics across multi‑source datasets.
- Clean, organize, integrate, and maintain data models; develop dynamic visualizations, dashboards, and reports that communicate findings to technical and non‑technical stakeholders.
- Collaborate with military personnel, partner nations, policy makers, and cross‑functional teams to identify data needs, translate requirements into analytical solutions, and deliver fused intelligence products.
- Document analytic methodologies, balance accuracy with operational timelines, and provide briefings, presentations, and decision‑support materials.
- Conduct customer outreach, track stakeholder satisfaction, and contribute to reporting and accountability mechanisms.
Qualifications
- 4+ years of experience in data engineering, including ETL development, data modeling, data integration, and geospatial datasets.
- 4+ years of experience using big data technologies such as Spark, Elastic or Snowflake.
- Experience with programming languages such as Python.
- Experience working within the IC and DoD joint environment.
- Knowledge of automation, artificial intelligence (AI) and machine learning (ML) techniques.
- Ability to manage multiple projects on tight deadlines while clearly conveying technical concepts to non‑technical audiences.
- Ability to work collaboratively across teams to achieve objectives and translate stakeholder needs into actionable solutions.
- TS/SCI clearance.
- HS diploma and 8+ years of experience in mathematics, statistics, or data science, or an associate’s degree in Mathematics, Statistics, Engineering, or Data Science and 4+ years of experience in mathematics, statistics, or data science.
Nice to Have
- Experience with intelligence oversight policies and data governance standards.
- Experience with cloud‑based data solutions in the Azure ecosystem.
- Experience with graph databases such as Neo4j or Cosmos DB.
- Experience with natural language processing (NLP) and automated analytics.
- Experience implementing ML or AI solutions.
- Excellent analytical skills for querying and interpreting large data sets.
- Excellent verbal and written communication skills.
- Excellent organizational and client‑facing skills.
- Bachelor’s degree in Mathematics, Statistics, Engineering, or Data Science.
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
Projected compensation range for this position is $99,000.00 to $225,000.00 annually (USD). Salary is determined by location, education, skills, and experience.
EEO Statement
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.
#J-18808-Ljbffr…
Posted: May 20th, 2026