Senior Research Data Scientist
Company:
The Boeing Company
Boeing's Global Talent, Development and Employee Experience organization has an exciting opportunity for a Senior Research Data Scientist to join the Employee Listening, Organizational Research, and Talent Assessment Team in Seattle, WA. The person in this role will lead deep dive analysis of employee survey, assessment, and workforce data, uncover meaningful organizational insights, and translate complex findings into compelling executive level narratives. This role sits at the intersection of research, analytics, strategy, and storytelling, ideal for someone who thrives on turning data into action and influencing senior leaders with clarity and confidence. You will help set the long-term research roadmap, defining measurement frameworks and success metrics, and establish standards for scientific rigor, reproducibility, practical and responsible use of AI/ML.
In this role, you will analyze large and complex datasets from surveys, assessments, HR systems, and business sources to generate actionable insights that inform organizational strategy, talent decisions, and employee experience improvements. You will lead mixed methods research, apply advanced statistical and predictive analytics, and use both structured and unstructured data to identify business trends, drivers, risks, and opportunities.
You will partner with executive leaders, HR, talent, and business teams to frame research questions, synthesize findings, and shape decisions through high impact reporting and storytelling. The ideal candidate combines strong technical expertise with the ability to simplify complex information, influence stakeholders, and help leaders understand the “so what” behind the data.
Position Responsibilities:
- Lead advanced analysis of organizational survey, assessment, and workforce data to identify trends, drivers, risks, and opportunities
- Design and execute research approaches to answer complex business and organizational questions using survey, assessment, interview, and workforce data
- Translate ambiguous data into decision-ready executive syntheses, including recommendations, options, trade-offs, risks, and implementation considerations
- Develop high-impact executive reports, presentations, and dashboards that tell a compelling data story
- Partner with leaders, HR, talent, and business teams to define research questions and inform strategy
- Synthesize multiple data sources, including surveys, assessments, open-ended feedback, internal business outcome metrics, and external benchmarks
- Apply advanced statistical analysis, machine learning, and predictive modeling to surface insights and forecast outcomes
- Advance NLP methods, including sentiment analysis, topic modeling, and entity recognition, to analyze unstructured text data
- Conduct qualitative analysis, including coding, thematic analysis, and content analysis, to derive insights from narrative data
- Ensure scientific rigor, validity, and reproducibility across all research and analytics through documented methods, version-controlled code, QA checks, and peer review
- Present findings to senior stakeholders with confidence, clarity, and influence
- Improve research methodologies, reporting standards, and storytelling approaches
- Provide technical leadership, guidance, and mentoring to cross-functional partners and teammates
- Identify and implement practical AI use cases that streamline workflows, automate repetitive tasks, improve analytical efficiency, and scale research output
- Partner with other scientists to build team capability through coaching, documentation, and examples of effective day-to-day AI use
Basic Qualifications (Required Skills/Experience):
- Master’s degree or higher in a quantitative field such as Data Science, Statistics, Economics, Operations Research, Machine Learning, Engineering, Industrial Organizational Psychology, Organizational Behavior, Psychometrics, Sociology, or a related discipline
- 5+ years of experience in data science, quantitative research science, or data analytics
- 5+ years of experience with the following data analytics methods Machine Learning, Simulation, Statistics, Data Mining, Regression, Survival Analysis, Time series models
- 5+ years of experience in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics) and building Descriptive, Predictive and Prescriptive models
- 5+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)
- Experience in Business Intelligence/data analytics tools (Microsoft Power BI, Dashboards, SQL, Tableau, etc.)
Preferred Qualifications (Desired Skills/Experience):
- 10+ years of industry experience
- Experience with HR systems and employee data environments
- Experience applying AI to automate, accelerate, or optimize analytics, research, or reporting workflows
- Experience with employee engagement, culture, leadership, talent, or organizational effectiveness research
- Experience applying machine learning models from ideation through monitoring and maintenance
- Capability to present highly technical information to nontechnical audiences
- Capability to influence senior leaders on strategy, trade-offs, and policy decisions using evidence-based recommendations
- Experience applying leading AI techniques and libraries to solve complex business problems and deliver measurable results
- Strong visualization skills and experience creating compelling charts, dashboards, and executive summaries
- Experience teaching, mentoring, and developing others
**Conflict of Interest: **
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
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.
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: $255,000 - $345,000
Language Requirements:
Not Applicable
Education:
Master's Degree or Equivalent
Relocation:
Relocation assistance is not a negotiable benefit for this position.
Export Control Requirement:
This is not an Export Control position.
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)
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