Boeing

Senior Data Science Manager

Boeing

full-time

Posted on:

Location Type: Hybrid

Location: ArizonaMontanaUnited States

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Salary

💰 $204,000 - $295,550 per year

Job Level

Tech Stack

About the role

  • Lead and manage a team of Data Scientists and BI Analysts to deliver high business impact AI/ML and analytics solutions
  • Collaborate with business stakeholders and product managers to elicit, refine, and prioritize requirements; ensure use cases are well found, measurable, and aligned to business outcomes
  • Educate executive level leadership on the state of the art in AI/ML, set realistic expectations, and articulate a clear roadmap for AI capabilities across the enterprise
  • Drive end-to-end project delivery, from problem framing and data discovery through model development, validation, deployment, and value realization
  • Establish and enforce best practices for modeling, experimentation, reproducibility, and documentation; promote responsible AI, fairness, and governance
  • Partner with the AI Platform team to shape ML Ops recommendations, model monitoring, deployment pipelines, and data/model governance strategies; translate team needs into actionable platform requirements
  • Mentor and develop team members, promote professional growth, and cultivate a high-performing data science/analytics culture
  • Collaborate with data engineering, data governance, and IT to ensure data quality, accessibility, security, and compliance
  • Communicate progress and impact to executive stakeholders; translate complex technical concepts into clear, business-relevant narratives

Requirements

  • 5+ years of experience in Data Science and building Artificial Intelligence (AI) & Machine Learning (ML) models
  • 5+ years of experience working on teams and projects that involve cross-functional and/or cross-business domains with executive interface experience
  • 5+ years of experience with python, ML Ops and Data Ops frameworks
  • 5+ years of experience in managing a team or as a technical lead
  • Bachelor’s, Master’s or PhD in a relevant field (e.g., Data Science, AI, Engineering, Statistics)
Benefits
  • health insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life and disability insurance programs
  • programs that provide for both paid and unpaid time away from work
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data ScienceArtificial IntelligenceMachine LearningPythonML OpsData OpsModel DevelopmentData DiscoveryModel ValidationModel Deployment
Soft Skills
LeadershipCollaborationCommunicationMentoringProblem FramingStakeholder EngagementProfessional DevelopmentProject ManagementExpectation ManagementCultural Development
Certifications
Bachelor’s DegreeMaster’s DegreePhD