
Experienced Data Scientist
Dallas, TXFull-time$106–162K/yrPosted todayStill listed today
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Job overview
Boeing Global Services Distribution is seeking an Experienced Data Scientist (Level 3) in Dallas, Texas. The role develops analytics and optimized supply chain solutions for aviation and aerospace, including forecasting, inventory and fleet optimization, and customer-facing software. The scientist contributes across the production lifecycle, from data pipelines and models to deployment and monitoring, while collaborating with stakeholders and mentoring engineers and analysts.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Experienced Data Scientist
Company: Boeing Distribution, Inc.
Boeing Global Services (BGS) Distribution Business is looking for an Experienced Data Scientist (Level 3) to join our team in Dallas, TX.
In this role, you will envision, develop and implement optimized supply chain solutions to enhance support and services under Boeing Global Services’ (BGS) Distribution portfolio. You will use optimization techniques to evaluate Stocking Strategies, Safety Stocks, Supplier Capacity Constraints, Economic Order Quantity (EOQ), and others. In addition you will empower Boeing’s customer-facing software tools, products and services with cutting-edge analytics technologies. You will apply machine learning, statistics, and other analytics techniques to the unique challenges of aviation and aerospace. You will contribute your data science expertise to cross-functional project teams to help develop, launch and maintain leading-edge aviation software solutions around the world.
Position Responsibilities:
- End-to-end ownership: design, implement, and operate data pipelines, ML models, backend services, frontend dashboards, and integrations that support SIOP and fleet/entity analytics.
- Build and productionize forecasting, demand-sensing, and inventory/fleet optimization models and expose them via robust APIs and UI components.
- Implement telemetry ingestion and preprocessing for fleet telematics, ERP/MRP feeds, maintenance systems (EAM/CMMS), and external market/competitive data.
- Create interactive scenario-planning tools and visualizations used in SIOP and program decision reviews; enable what-if simulation and explainability of model outputs.
- Implement role-based access, data lineage, and governance for sensitive enterprise datasets; ensure data quality and reproducibility.
- Containerize, deploy, and monitor model and application services with CI/CD, observability, and automated testing.
- Implement model monitoring, drift detection, retraining pipelines, and feature stores for production ML lifecycle.
- Collaborate with stakeholders to translate business questions into technical solutions and measure business impact (forecast accuracy, inventory reduction, fleet readiness).
- Mentor engineers and analysts; establish best practices for reproducible notebooks, modular code, testing, and documentation.
Basic Qualifications (Required Skills/Experience):
- 4+ years of experience in Data Science
- 2+ years of experience with Python.
- 2+ years of experience in database and querying with SQL Skills for extracting and aggregating data
- 5+ years data visualization with the ability to create clear charts and dashboards
- 3+ year experience with model evaluation: metrics, cross-validation, bias/variance trade-off, calibration
Preferred Qualifications (Desired Skills/Experience):
- Bachelor's degree in Data Science, Computer Science, related field
- Domain knowledge of the aviation & aerospace industry
- Experience with model deployment (APIs, Docker, MLOps pipelines)
- Advanced topics: Deep Learning, time series forecasting, natural language processing, causal inference
- Certification in Cloud, AWS, etc
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.
Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Total Rewards & Pay Transparency: 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 several 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: $106,000 - $162,000
Language Requirements: Not Applicable
Education: Not Applicable
Relocation: Relocation assistance is not a negotiable benefit for this position.
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 does not require a Security Clearance.
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)
Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning
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.
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How this job compares
Set against the 4,537 open Data Scientist jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$106–162K/yr
- Texas median$125–208K/yr161 salary ranges
- US median$130–210K/yr3,601 salary ranges
This range's midpoint, $134K, is 20% below the Texas median midpoint ($168K) — in the lowest quarter of Data Scientist salary ranges in Texas.
- Openings
- Olive Jobs lists 257 open Data Scientist jobs in Texas and 4,537 across the US. 6% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (3,935 postings).
- Education
- 2,278 of the 4,537 open Data Scientist jobs (50%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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