Data Scientist

Our client is seeking a Sr. Data Scientist to lead complex, end-to-end data science initiatives-from business problem framing through production deployment and operational monitoring. This role emphasizes full ownership of delivered business value: identifying and framing high-impact problems, developing and validating machine learning, optimization, and generative AI solutions, and ensuring their adoption and measurable impact across the organization. The Sr. Data Scientist will partner closely with cross-functional teams to translate analytics into actionable business decisions, drive model explainability and trust, and maintain ongoing model performance. You will utilize advanced tools and platforms including Python, scikit-learn, XGBoost, LightGBM, CatBoost, Databricks, Azure AI Foundry, and MLflow. The position may require domestic or international travel and the ability to work in both office and shipboard environments. WHAT YOU’LL DO

• Frame high-impact business problems for senior model ownership, translating them into measurable data science opportunities with clear decision owners, baseline metrics, adoption paths, and expected value tied to improvements in revenue, cost, service, capacity, personalization, or operational decision quality.
• Develop, validate, and deploy predictive models (forecasting, propensity, classification, ranking) using Python and modern ML libraries (scikit-learn, XGBoost, LightGBM, CatBoost) and Databricks feature workflows to support production decisions.
• Design and implement prescriptive analytics solutions, including optimization (MILP, heuristics, dynamic programming), simulation, and scenario modeling to improve operational and commercial outcomes.
• Build and evaluate GenAI workflows leveraging GPT-class models, Azure AI Foundry, RAG, embeddings, prompt engineering, and evaluation routines to enhance business productivity and workflow automation.
• Design and analyze statistical experiments (A/B tests, quasi-experiments, causal analyses, bootstrap methods, non-parametric tests) to assess the impact of models and process changes.
• Ensure model explainability and trust through SHAP, sensitivity analysis, model diagnostics, error analysis, and clear, stakeholder-ready communication of model behavior, limitations, and decision implications.
• Partner with AI Engineering to deploy models and analytical applications through Databricks, Azure ML, MLflow, APIs, or containerized services, maintaining accountability for business value and model behavior in production.
• Monitor production models for accuracy, drift, bias, adoption, latency, cost, and business KPIs; trigger retraining, recalibration, or process changes as needed to ensure ongoing value realization.
• Collaborate with business, product, operations, AI Engineering, and data engineering teams to convert model outputs into decisions, workflows, incentives, and measurable adoption., * Opportunity to lead high-impact data science initiatives with end-to-end ownership and measurable business value.
• Collaborative, cross-functional environment with exposure to advanced AI, ML, and GenAI technologies.
• Hybrid work arrangement and the potential for domestic and international travel.
• Comprehensive support for professional growth and development.
• Commitment to equal employment opportunity and a diverse, inclusive workplace.
• Guidance and support from recruiters throughout the application process.

Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Operations Research, Engineering, Economics, or a related quantitative field, or equivalent practical experience.
• Demonstrated senior-level experience delivering ML, optimization, experimentation, or GenAI solutions in production environments, with a track record of moving beyond analysis to business decisioning and measurable outcomes.
• Hands-on experience with Python, scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch or TensorFlow, and model evaluation workflows for production-grade use cases.
• Experience with MILP solvers, simulation, scenario planning, dynamic programming, heuristics, or prescriptive analytics methods applied to real business decisions.
• Proficiency with GenAI platforms (Azure AI Foundry, GPT-class models, RAG, embeddings, prompt engineering, evaluation) and safe use of GenAI for decision support or workflow automation.
• Advanced use of Databricks, Spark, SQL, feature pipelines, data quality checks, and reproducible analytical workflows for large-scale data science delivery.
• Experience with MLOps tools (MLflow, Azure ML, model registries, CI/CD, monitoring, retraining, production handoff) to ensure models remain reliable after launch.
• Strong Python engineering practices, Git workflows, testing, packaging, notebooks-to-production discipline, APIs, and collaboration with AI Engineering for deployment readiness.
• Clear communication skills with technical and business stakeholders, including the ability to explain model logic, uncertainty, tradeoffs, risks, and recommendations in business terms.
• Ability to travel domestically and internationally as required by the role, and to work in both office and shipboard environments.
• Compliance with company COVID-19 vaccination policy (or approved accommodation).

Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.