Senior Research Data Scientist
Seattle, OR - USA
Job Summary
Company:
The Boeing CompanyBoeings Global Talent Development and Employee Experience organization has an exciting opportunity for aSenior Research Data Scientistto 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
BasicQualifications (Required Skills/Experience):
Masters 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 Companys 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: $255000 - $345000
Language Requirements:
Not ApplicableEducation:
Masters Degree or EquivalentRelocation:
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 awardShift:
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.
Boeing Participates in E Verify
Right to Work Statement
Required Experience:
Senior IC
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