Senior Human Resources Data Scientist

Company:

The Boeing Companys Talent Analytics and Innovations team is currently seeking a Senior Human Resources (HR) Data Scientist to join our team in Seattle WA Arlington VA North Charleston SC or Berkeley MO.

As a Data Scientist on the Talent Analytics team you will design build and operationalize analytic solutions that solve workforce and HR challenges and deliver measurable business impact. You will partner with HR leaders HR Information Systems (HRIS)/Information Technology(IT) data engineering and analytics to translate business questions into reproducible data products end-to-end pipelines and interpretable models (including ML and Large Language Model-based solutions). This is a hands-on role that combines advanced analytics production-grade implementation and stakeholder-facing communication in a large-organization HR context.

Position Responsibilities:

• Lead end-to-end analytic projects

• Define problem statements with HR stakeholders design experiments select appropriate methods develop models validate results and deliver production-ready solutions and monitoring

• Build predictive and prescriptive models for talent use cases (attrition/retention internal mobility promotion forecasting performance indicators recruitment sourcing/scoring skilling/curation compensation analytics)

• Develop and produce features and models in collaboration with data engineers and Machine Learning (ML) engineers

• Implement reproducible ETL feature pipelines model training pipelines CI/CD and deployment patterns

• Apply statistical methods hypothesis testing causal inference where appropriate and robust validation (cross-validation holdouts calibration fairness testing) to ensure reliable defensible results

• Design and operationalize NLP/LLM solutions for HR use cases (resume parsing candidate experience employee feedback analysis) while enforcing privacy data minimization and explainability requirements

• Instrument model monitoring and drift detection; define alerting retraining triggers and remediation plans

• Produce clear actionable visualizations and dashboards that tell the story of analytic findings and drive decisions; collaborate with BI developers to operationalize reporting

• Translate technical analyses into business recommendations quantify expected impact and work with partners to implement changes and measure outcomes

• Mentor junior data scientists/analysts review code and model artifacts and help raise team standards for reproducibility documentation and governance

• Ensure models and data products adhere to governance privacy and ethical requirements; collaborate with HR Data Steward Legal/Privacy and Ethics/AI governance on reviews and approvals

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

BasicQualifications (Required Skills/Experience):

• Bachelors degree or higher

• 5 years of experience in data science or analytics

• 5 years of experience performing statistical analysis

• 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 writing and using SQL

• 5 years of experience in Python or relevant scripting language development

• Experience in Business Intelligence/data analytics tools (Tableau Microsoft Power BI Dashboards etc.)

Preferred Qualifications (Desired Skills/Experience):

• Masters degree in Data Science Statistics Computer Science Economics Engineering or related field

• Certifications or demonstrable training in responsible AI ML engineering or data science best practices (examples: ML engineering certificates Responsible AI training cloud certifications)

• 5 years of experience delivering end-to-end analytics and deploying models to production in cross-functional environments

• Experience in Talent/People analytics in a large enterprise or consulting environment

• Experience in statistical modeling (linear/logistic regression survival analysis/time-to-event where relevant) tree-based methods clustering causal methods and applied NLP/transformer/LLM techniques for text-based HR applications.

• Experience working with ETL feature engineering data warehouses/lakes and modern cloud platforms

• Experience with Spark dbt Airflow or equivalents desirable

• Experience with model registries and lifecycle tools (MLflow Seldon Terraform/Helm or equivalent) explainability tools (SHAP LIME) fairness/tooling (AIF360 or equivalent) and monitoring frameworks

• Experience with BI/visualization tools (Tableau Power BI) and producing executive-ready dashboards and narratives

• Experience with de-identification synthetic data and access-control patterns for sensitive HR data

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: $204000 - $295550

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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