Space Data Manager maintaining data integrity and supporting workplace decision - making at JLL. Collaborating with digital and analytics teams to deliver comprehensive reporting solutions and optimize efficiency.
About the role
- Senior Data Scientist Lead supporting data and analytics for Department of War enterprise at Leidos. Collaborating with government partners and industry teams to develop scalable solutions.
Responsibilities
- Lead efforts to extract insights from operational, service, and performance data to identify opportunities for improvement.
- Lead development and deployment of advanced statistical models, machine learning algorithms, and predictive analytics solutions.
- 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 engineering and functional teams to ensure analytical outputs are accurate, actionable, and aligned with mission objectives.
- Design experiments, feature engineering strategies, and model validation frameworks to support enterprise analytics objectives.
- Collaborate with data engineering teams to ensure scalable data pipelines supporting model training and inference.
- Integrate models into DevSecOps pipelines for automated testing, validation, and production deployment.
- Develop and maintain documentation, evaluation metrics, and model performance dashboards.
- Ensure responsible AI practices including bias detection, explainability, and performance monitoring.
- Participate in PI Planning, backlog refinement, sprint reviews, and Inspect & Adapt events to align analytics priorities with Program Increment (PI) objectives.
- Translate complex analytical findings into actionable insights for technical and executive stakeholders.
- Provide direct supervision, mentoring, and performance management for assigned data scientists and analytics personnel.
- Conduct performance evaluations, goal setting, and professional development planning.
- Lead workforce planning and staffing alignment across data science workstreams.
- Establish modeling standards, peer review processes, and analytical quality governance frameworks.
- Foster a collaborative, innovative, and mission-focused analytics culture within the organization.
Requirements
- Active Top Secret (TS) clearance with SCI eligibility.
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 8 years of relevant experience OR Master’s degree in a related field and 6 years of relevant experience.
- Minimum of 8 years of experience in data science, data engineering, or a related field.
- Strong proficiency in programming languages such as Python, R, SQL or similar analytical programming languages.
- Experience with data engineering tools and platforms, such as Hadoop, Spark, or similar.
- Experience developing and deploying machine learning and statistical models in enterprise environments.
- Proven experience in designing and developing predictive models and data-driven analytical frameworks.
- Experience performing data exploration, feature engineering, model validation, and performance tuning.
- 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.
- Demonstrated experience leading and mentoring technical analytics teams.
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
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