Journeyman Data Scientist supporting DoD enterprise data and analytics program, collaborating with teams to deliver scalable, production - ready solutions and enhancing data - driven decision - making.
About the role
- Journeyman Data Scientist supporting delivery of enterprise data and analytics solutions. Collaborate with teams to deliver scalable, production-ready solutions in a mission-driven environment.
Responsibilities
- Develop and apply statistical models and machine learning algorithms to analyze structured and unstructured data
- Perform data exploration, feature engineering, and data preprocessing to support analytics and model development
- Support development and validation of predictive and descriptive analytics models
- Collaborate with data engineers to ensure availability and quality of data for analytics workflows
- Assist in integrating models into production environments through APIs and DevSecOps pipelines
- Develop visualizations, dashboards, and reports to communicate analytical findings
- Support evaluation of model performance, including accuracy, bias, and reliability
- Assist in implementation of model monitoring and continuous improvement processes
- Design and develop predictive models and data-driven analytical frameworks that optimize processes and support informed decision-making
- Build models that forecast future demands, highlight operational and service-related risks, and detect performance anomalies in real time
- Collaborate with cross-functional teams including AI/ML engineers, software developers, and domain stakeholders
- Ensure responsible AI practices including bias detection, explainability, and performance monitoring
- Translate complex analytical findings into actionable insights for technical and executive stakeholders
- Develop and maintain documentation, evaluation metrics, and model performance dashboards
- Document analytical methodologies, models, and results
- Participate in SAFe ceremonies including sprint planning, backlog refinement, sprint reviews, and retrospectives.
Requirements
- Active Secret clearance
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 4–8 years of relevant experience OR Master’s degree in a related field and 2–6 years of relevant experience
- Minimum of 4 years of experience in data science, data engineering, or a related field
- Experience applying statistical analysis and machine learning techniques
- Experience using programming languages such as Python, SQL, R or similar analytical programming languages
- Experience working with data analysis and ML libraries (e.g., Pandas, Scikit-learn, or similar)
- Experience performing data exploration, feature engineering, and model validation
- Proven experience in designing and developing predictive models and data-driven analytical frameworks
- Knowledge of data security policies, including data encryption and access controls
- Experience with data governance frameworks and compliance enforcement
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills.
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist transforming complex data sets into actionable insights at Booz Allen. Collaborating with clients and developing algorithms to address global challenges with real - world impact.
Data Scientist Intern developing innovative solutions for customer challenges in the Summer Games program at Booz Allen Hamilton. Collaborate with teams, receive mentorship, and participate in a Challenge Cup competition.
Principal Data Scientist at Walmart driving breakthrough system design and advanced AI solution development. Leading high - impact projects in the Associate AI Experiences team with a global reach.
Data Scientist leading machine learning projects for consumer analytics at T - Mobile, transforming data into actionable insights to drive business value.
Data Scientist developing AI - enabled applications and backend services for scientific workflows. Collaborating with cross - functional teams to gather requirements and deliver production - ready solutions.
Data Scientist developing advanced analytical solutions affecting business decisions. Expertise in data science with a focus on impactful, strategic projects.
Senior Data Scientist for Integrity & Trust developing AI fraud detection systems in MENA region. Building models for detection and maintaining marketplace quality across the platform.
Data Scientist specializing in grant fraud detection at Desjardins. Providing advanced analytics and AI solutions to support business decisions using extensive data.
Senior BI Data Scientist transforming financial data into actionable insights at Consort Group. Building performance - driven analytical solutions within a Transaction Banking environment.