Senior/Lead Data Scientist

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

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.

Position Responsibilities

• Leads 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).

• Owns problem framing with 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 engineering for 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-functionally with analytics, engineering, quality, safety, operations, and product/IT teams to integrate solutions into business workflows and decision systems.

• Influences analytics strategy for 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 develops junior data scientists; actively contributes to knowledge sharing, technical communities, and capability building across the organization.

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

Basic Qualifications (Required Skills/Experience)

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

• 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 that requires analytical, quantitative reasoning and/or mathematical modeling skills.

• 10+ years of experience with Python and SQL.

• 10+ 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).

• 5+ 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.

Preferred Qualifications (Desired Skills/Experience)

• Experience supporting manufacturing, quality, safety, or supply chain analytics in an industrial environment.

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

• Experience with NLP/LLMs, computer vision, and/or graph methods applied to operational and engineering data.

• Experience with optimization and simulation for prescriptive analytics and operational decision support.

• Experience working with GPUs and computation clusters.

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

Education/experience typically acquired through advanced technical education from an accredited course of study (e.g., Bachelor’s) and typically 14 or more years’ related work experience or an equivalent combination of education and experience (e.g., PhD+9, Master’s+12).

Drug Free Workplace:

Boeing is 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

 

Applications for this position will be accepted until May. 30, 2026

Export Control Requirements:

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.

Export Control Details:

US based job, US Person required

Relocation

This position offers relocation based on candidate eligibility.

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.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Experience Level
Individual Contributor
Contingent Upon Program Award
No, this position is not contingent upon program award

Schedule
Full time

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.