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Senior/Lead Data Scientist

Company:

The Boeing Company

Boeing Enterprise AI and Data (a part of Information Digital Technology & Security) is seeking aSenior/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-impactpredictive and prescriptive analyticsand 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.

Position Responsibilities

• Leads the design, development, validation, deployment, and lifecycle managementof end-to-end predictive/prescriptive analytics solutions (e.g., forecasting, anomaly detection, optimization, risk scoring, early-warning systems).

• Owns problem framingwith business and operational stakeholders; translates ambiguous needs into measurable objectives, success metrics, analytical requirements, and delivery roadmaps.

• Selects best-fit methodologies(e.g., statistical modeling, machine learning, deep learning, NLP, computer vision, time series, simulation, optimization) and defines modeling approaches, evaluation strategies, and governance.

• Drives data preparation and feature engineeringfor complex, multi-source datasets; establishes repeatable pipelines for data quality, lineage, and model inputs.

• Establishes and enforces modeling and engineering standards(code quality, peer review, documentation, reproducibility, bias/robustness checks, monitoring, retraining triggers).

• Leads technical reviews(design, algorithm, code, and model risk reviews) and provides guidance to other data scientists and partner teams.

• Partners cross-functionallywith analytics, engineering, quality, safety, operations, and product/IT teams to integrate solutions into business workflows and decision systems.

• Influences analytics strategyfor the organization, including platform/tooling recommendations, model deployment patterns, experimentation/measurement approaches, and reuse of common assets.

• Monitors deployed solutions(performance drift, data drift, operational KPIs) and drives continuous improvement through iteration, retraining, and user feedback.

• Mentors and developsjunior data scientists; actively contributes to knowledge sharing, technical communities, and capability building across the organization.

• Communicates complex technical outcomesclearly to senior leadership, including tradeoffs, risks, assumptions, and expected business impact.

Basic Qualifications (Required Skills/Experience)

• 10+ yearsof Data Science experience

• 10+ years ofend-to-end analytics/ML solutions, including problem definition, data preparation, model development, validation, deployment, and monitoring.

• 10+ years experience in a position that requires analytical, quantitative reasoning and/or mathematical modeling skills.

• 10+ years of experience with Python and SQL.

• 5+ years of experience withmachine learning/statistical modeling(e.g., regression, classification, clustering, time-series, anomaly detection, causal/experimental methods), including model evaluation and validation.

• 10+ years of experience withdata visualization and decision support(e.g., Python, Tableau, Power BI, or equivalent) to communicate insights and drive adoption.

• 5+ years of experience working withcloud and/or enterprise analytics stacksand building production-ready solutions (e.g., Azure/AWS/GCP; Spark/Databricks; containerization and CI/CD patterns).

• 3+ years of leading technical work and mentoringother 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.

Preferred Qualifications (Desired Skills/Experience)

• Bachelor's degree or higherfrom an accredited course of study in data science, computer science, machine learning, applied statistics, mathematics, engineering, or related field.

• Experience supportingmanufacturing, quality, safety, or supply chainanalytics in an industrial environment.

• Experience developing and deploying solutions usingMLOps/DataOpspractices (e.g., Git-based workflows, model registries, automated testing, monitoring, reproducible pipelines).

• Experience with NLP/LLMs,computer vision, and/orgraph methodsapplied to operational and engineering data.

• Experience withoptimization and simulationfor prescriptive analytics and operational decision support.

• Experience working with GPUs and computation clusters.

• Strong track record of presenting technical recommendations and business cases tosenior leadership.

Education/experience typically acquired through advanced technical education from an accredited course of study (e.g., Bachelor's) and typically14 or more years'related work experience or an equivalent combination of education and experience (e.g.,PhD+9,Master's+12).

Drug Free Workplace:

Boeingis a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Relocation:

This position IS budgeted for relocation assistance for qualified applicants.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $216,000 - $250,000

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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