Senior​/Lead Data Scientist

Overview

Senior/Lead Data Scientist – The Boeing Company. Boeing Enterprise AI and Data (a part of Information Digital Technology & Security) is seeking a Senior/Lead Data Scientist to join a Data Science and Analytics team in the St. Louis, MO area to support enterprise business-critical outcomes across areas such as Manufacturing, Supply Chain Management and Aftermarket product support. This role will lead the development and deployment of high-impact predictive and prescriptive analytics and will shape analytics strategy, architecture, and technical direction across a portfolio of complex problems.

The ideal candidate brings deep expertise in advanced analytics and machine learning, strong engineering and MLOps instincts, and the ability to influence senior stakeholders and cross-functional teams to deliver measurable business results.

• Lead the design, development, validation, deployment, and lifecycle management of end-to-end predictive/prescriptive analytics solutions (e.g., forecasting, anomaly detection, optimization, risk scoring, early-warning systems).
• Own problem framing with business and operational stakeholders; translate ambiguous needs into measurable objectives, success metrics, analytical requirements, and delivery roadmaps.
• Select best-fit methodologies (e.g., statistical modeling, machine learning, deep learning, NLP, computer vision, time series, simulation, optimization) and define modeling approaches, evaluation strategies, and governance.
• Drive data preparation and feature engineering for complex, multi-source datasets; establish repeatable pipelines for data quality, lineage, and model inputs.
• Establish and enforce modeling and engineering standards (code quality, peer review, documentation, reproducibility, bias/robustness checks, monitoring, retraining triggers).
• Lead technical reviews (design, algorithm, code, and model risk reviews) and provide guidance to other data scientists and partner teams.
• Partner cross-functionally with analytics, engineering, quality, safety, operations, and product/IT teams to integrate solutions into business workflows and decision systems.
• Influence analytics strategy for the organization, including platform/tooling recommendations, model deployment patterns, experimentation/measurement approaches, and reuse of common assets.
• Monitor deployed solutions (performance drift, data drift, operational KPIs) and drive continuous improvement through iteration, retraining, and user feedback.
• Mentor and develop junior data scientists; contribute to knowledge sharing and capability building across the organization.
• Communicate complex technical outcomes clearly to senior leadership, including tradeoffs, risks, assumptions, and expected business impact.

• 10+ years of Data Science experience
• 10+ years of end-to-end analytics/ML solutions, including problem definition, data preparation, model development, validation, deployment, and monitoring
• 10+ years experience in a position requiring analytical, quantitative reasoning and/or mathematical modeling skills
• 10+ years of experience with Python and SQL
• 5+ years of experience with machine learning/statistical modeling (e.g., regression, classification, clustering, time-series, anomaly detection, causal/experimental methods), including model evaluation and validation
• 10+ years of experience with data visualization and decision support (e.g., Python, Tableau, Power BI, or equivalent) to communicate insights and drive adoption
• 5+ years of experience working with cloud and/or enterprise analytics stacks and building production-ready solutions (e.g., Azure/AWS/GCP; Spark/Databricks; containerization and CI/CD patterns)
• 3+ years of leading technical work and mentoring other data scientists; demonstrated influence across cross-functional stakeholders; ability to communicate technical content in oral and written form
• US Secret clearance or ability to obtain one

• Bachelor’s degree or higher from an accredited program in data science, computer science, machine learning, applied statistics, mathematics, engineering, or related field
• Experience…