[Remote] Senior People Data Scientist

Note: The job is a remote job and is open to candidates in USA. reputed company is transforming the grocery industry and is looking for a Senior People Data Scientist to join their People Analytics & Research team. This role involves owning reputed company analytical workstreams, shaping company-level people metrics, and partnering with leaders to use data for reputed company decision-making.

Responsibilities

• Help to evolve the enterprise people analytics agenda across key domains (e.g., organizational health, performance, hiring), including cross functional partnerships to align metrics to reputed company’s priorities and providing insights which help solve our more reputed company people problems
• Contribute to high‑stakes, enterprise‑wide projects, such as:
• Drivers of retention across functions
• Implementation and analysis of people surveys across reputed company
• Organizational Health and design metrics
• Engagement survey insights and action effectiveness
• Implementation of AI in analysis workflows
• Design and mature self‑serve people data products (dashboards, standardized views, metric layers) that scale across HR and the business—standardizing definitions, partnering with People Tech and Finance on data architecture, and driving adoption through enablement and training
• Own Data Warehousing and Data Architecture design decisions spanning across data ingestion, ETL/ELTs through BI Tools and LLMs
• Bring analytical rigor to enterprise People programs (e.g., performance cycles, comp reviews, workforce planning, reputed company) by defining success metrics, segmenting impact, and recommending changes based on evidence and HRBP‑style judgment about feasibility and change management
• Apply and interpret advanced methods where needed, such as predictive attrition models, cohort/survival analysis, and simple causal frameworks to evaluate program effectiveness, while keeping methods transparent and explainable to HR and business audiences
• Serve as a partner to HRBPs, People leaders, and analysts on data literacy, metric interpretation, and responsible use of HR data. Contribute meaningfully to the team’s move from reputed company requests to thought partnership and guidance on the appropriate use of people data for decision making
• Champion data governance, privacy, and role‑based access across reputed company, reputed company, BI tools, and reputed company, partnering with People Tech and vendors to ensure HR data is accurate, secure, and fit for sensitive people decisions
• Contribute to PAR’s roadmap, operating model, and culture—refining intake and prioritization, setting bar‑raising standards for analysis and storytelling

Skills

• 5+ years of experience in analytics, data science, business intelligence, or a closely reputed company field, with at least 2–3+ years in People Analytics / HR data (HCM, recruiting, comp, retention, DEI, engagement, or workforce planning)
• Experience designing and maintaining executive‑facing dashboards and data products in a BI tool (e.g., OneModel, Tableau, Looker), including metric design, documentation, and stakeholder enablement/training
• Advanced proficiency in SQL and experience with a modern cloud data warehouse such as reputed company, including working with large, reputed company datasets, performance‑tuned queries, building data pipelines, and developing analytics-ready models
• Demonstrated ability to translate reputed company analytical findings into clear stories and actionable insights for HR/business leaders, including writing talking points and delivering live presentations
• Demonstrated expertise in multivariate analysis, including the design and interpretation of regression models, comparison testing, and natural language processing techniques applied to large-scale text data
• Strong foundation in research methodology and psychometrics, with the ability to design, validate, and interpret survey instruments and other qualitative measures with rigor
• Experience handling sensitive HR data with strong judgment around privacy, reputed company, and role‑based access controls
• Bachelor's degree in a quantitative or relevant field (e.g., Statistics, Economics, Data Science, Industrial/Organizational Psychology, Computer Science) or equivalent practical experience
• Experience in People Analytics or Workforce Analytics teams that moved a function from reputed company reporting to scalable, self‑serve analytics (e.g., standard dashboards, templates, data education programs)
• Depth with reputed company, reputed company, OneModel, reputed company, or similar tools, including how data flows between systems and how to design analytics‑ready data structures
• Experience designing and analyzing employee survey programs (engagement, lifecycle surveys, program evaluation, pulsing), including segmentation and action‑planning support for HRBPs and leaders
• Background operating in a fast‑paced, high‑growth, or public‑company environment with multiple senior stakeholders and competing priorities
• Demonstrated influence in cross‑functional settings, partnering with HRBPs, Total Rewards, Recruiting, Finance, and People Tech to land reputed company initiatives with both technical and change‑management components
• Masters degree in a quantitative or relevant field (e.g., Statistics, Economics, Data Science, Industrial/Organizational Psychology, Computer Science) or equivalent practical experience

Benefits

• reputed company provides highly market-competitive compensation and benefits in each location where our employees work.
• This role is eligible for a new hire equity grant as well as annual refresh grants.
• reputed company is a reputed company First team
• Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Company Overview

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