Data Scientist

Booz Allen Hamilton; Marine Corps Base Camp Lejeune (NC); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Scientist to design, build, and deploy predictive models across client environments. You will lead a small team of analysts, developers, and data users in an Agile setting to transform structured and unstructured data into actionable insights and ML solutions.

The role requires cloud data experience (Azure, AWS), strong data visualization skills, and proficiency in SQL, Python, and R.

Qualifications

• Bachelor's degree in a related field.
• Experience designing and maintaining cloud data environments (Azure, AWS).
• Experience leading or mentoring technical teams.
• Proficient in data visualization tools: Power BI, Tableau, or Microsoft Fabric.
• Proficient with SQL, R, or Python for data analysis.
• Experience building and deploying predictive models and ML solutions.
• Experience data validation, feature engineering, and preparing complex data sets.
• Experience building and automating data pipelines.
• Knowledge of regression, classification, and clustering.
• Must have Secret clearance or ability to obtain clearance.

Responsibilities

• Lead design, development, and deployment of predictive models for clients.
• Guide a small team of analysts, developers, and data consumers.
• Architect data-driven solutions within client data environments.
• Advise clients on interpretation of predictions and usage.

Skills

Cloud data environments

Team mentoring

Data visualization

Python

SQL

R

Statistical modeling

Machine learning

Communication with clients

Education

Bachelor's degree

Master's degree

CAP Certification

TS/SCI clearance

Tools

Power BI

Tableau

Microsoft Fabric

Spark

PySpark

SQL

R

Python

Job description

The Opportunity:As a Data Scientist, you have a passion for going beyond simple analysis to build predictive models and algorithms. You thrive on the challenge of transforming vast amounts of structured and unstructured data not just into insights, but into machine learning and artificial Intelligence solutions to solve complex challenges.As a client facing Data Scientist, you’ll work with and guide a small team of analysts, developers, and data consumers in a fast-paced, Agile environment. You’ll apply your deep knowledge of machine learning and statistical modeling as you lead the design, development, and deployment of predictive models for your clients. You will also work closely with your clients to understand their questions and challenges, and then architect data-driven solutions within their data-rich environments. Not only will you build models to predict future outcomes, but you’ll also advise your client on what these predictions mean and how they can be used to proactively shape mission success.Join us. The world can't wait.You Have:Experience designing, building, or maintaining cloud data environments such as Azure and AWSExperience leading or mentoring technical teams of data analysts, engineers, or developersExperience with data visualization techniques and tools, including Power BI, Tableau or Microsoft Fabric, and Spark or PySpark for data analysisExperience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysisExperience transforming data patterns into predictive insights and deploying data driven solutionsExperience in data validation, feature engineering and preparing complex data sets for machine learningExperience building and automating data pipelines and workflowsKnowledge of statistical analysis and modeling techniques, including regression, classification and clusteringSecret clearanceBachelor's degreeNice If You Have:Experience developing custom data-driven applications or user interfaces for data input and visualizationExperience with DoD data platforms, including Advana, MCS-COP Foundry, ADE, or similar systemsExperience with agile methodologiesExperience with working on real-time data and streaming applicationsKnowledge of USMC Marine Expeditionary Force mission and structureAbility to develop scripts and programs for converting various types of IoT and sensor data into usable formatsAbility to communicate technical information and recommendations to peers, engineers, and analytic customersTS/SCI clearanceMaster's degreeCertified Analytics Professional (CAP) CertificationClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.CompensationAt 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 StatementAs 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 PolicyAI 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 ModelOur people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.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 or customer facility, in alignment with your leadership's expectations and the needs of the role.Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.Commitment to Non-DiscriminationAll 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.