Be an early applicantLess than 25 applicants

Company

Original Job Post

Booz Allen Hamilton · 3 days ago

Data Scientist

McLean, VA

Full-time

Hybrid

Mid Level

$76K/yr - $172K/yr

2+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

ConsultingCyber Security

Growth Opportunities

Insider Connection @Booz Allen Hamilton

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Lead complex data exploration and analytics projects using machine learning for fraud detection.

Apply innovative AI and data science methodologies to impact civilian clients' missions.

Grow skills in data science and machine learning operationalization processes.

Guide a team in serving critical missions using AI for various needs.

Develop and deploy predictive models around fraud, risk, or rare events.

Utilize Agile and Scrum processes in the development of machine learning models.

Obtain a security clearance for the role.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningData AnalyticsData StrategyProgramming LanguagesRSQLPythonModel CreationOperational DecisionsStakeholder ManagementSecurity ClearanceProblem-SolvingCommunicationPersuasionPredictive ModelingFraud DetectionRisk AnalysisDatabricksCloud AIAgileScrumVerbalWritten Communication

Required

2+ years of experience with data science, machine learning, data analytics, or data strategy work

Experience with programming languages, including R, SQL, or Python

Experience with creating models using machine learning techniques intended for operational decisions

Experience working with and presenting to non-technical personnel

Experience with persuading stakeholders to take different courses of action

Ability to obtain a security clearance

Bachelor's degree

Preferred

Experience with the full life cycle of machine learning development and deployment, including gathering requirements, identifying data, preparing data, and building, validating, and using deployable predictive models with the usage having tangible results

Experience with developing predictive models around fraud, risk, or rare events

Experience with Databricks or cloud AI environments

Knowledge of Agile and Scrum processes

Possession of excellent verbal and written communication skills