Experienced Data Scientist

Posted 24 Minutes Ago
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Dallas, TX, USA
In-Office
106K-162K Annually
Mid level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
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The Role
Develop and productionize data science solutions for aviation supply chain and fleet analytics. Build forecasting, demand-sensing, inventory optimization, telemetry ingestion, APIs, dashboards, scenario-planning tools, and machine learning lifecycle infrastructure. Ensure governance, data quality, monitoring, explainability, testing, and reproducibility. Collaborate with cross-functional stakeholders to measure business impact, maintain production software, and mentor engineers and analysts.
Summary Generated by Built In
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 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
Applications for this position will be accepted until Nov. 17, 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
Relocation assistance is not a negotiable benefit for this position.
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.

Skills Required

  • 4+ years of experience in Data Science
  • 2+ years of experience with Python
  • 2+ years of experience with databases and SQL for extracting and aggregating data
  • 5+ years of data visualization experience with the ability to create clear charts and dashboards
  • 3+ years of experience with model evaluation, including metrics, cross-validation, bias-variance trade-offs, and calibration
  • Bachelor's degree in Data Science, Computer Science, or a related field
  • Domain knowledge of the aviation and aerospace industry
  • Experience with model deployment, including APIs, Docker, and MLOps pipelines
  • Experience with deep learning, time series forecasting, natural language processing, or causal inference
  • Cloud certification, such as AWS

What the Team is Saying

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Boeing Compensation & Benefits Highlights

  • Retirement Support — Boeing says most nonunion employees receive a dollar-for-dollar 401(k) match up to 10% of pay with immediate vesting. Eligible employees may also qualify for a student-loan-related 401(k) match feature.
  • Healthcare Strength — Medical offerings include preventive care, doctor visits, hospital care, prescription drugs, and behavioral health services, alongside dental, vision, disability, and basic life insurance. This breadth is consistently described across Boeing’s published benefits materials.
  • Parental & Family Support — Eligible employees are offered 12 weeks of fully paid parental leave. Adoption and surrogacy assistance are also described, subject to program limits and eligibility rules.

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The Company
HQ: Arlington, VA
170,000 Employees
Year Founded: 1916

What We Do

A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity.

Why Work With Us

Aerospace protects and connects people, enables economic growth and trade, provides humanitarian relief and allows for human exploration of space. Boeing collaborates globally to support responsible growth for our industry, and we invest in innovation that improves the efficiency and sustainability of air travel and our operations.

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