Senior Data Scientist, People Analytics

About the Company

The organization operates in the home services industry, providing a platform that helps millions of people manage home care and improvements. It addresses the challenge homeowners face in deciding which projects to undertake and whom to hire among local service providers. The platform connects users with a community of 300,000 local service businesses across every county in the U.S., supporting urgent repairs, seasonal maintenance, and larger home improvement projects.

About the Role

The Senior Data Scientist, People Analytics will play a key role in advancing how data, analytics, and AI inform talent decisions within the organization. This position involves partnering with the People Team and business stakeholders to answer critical talent-related questions and deliver actionable insights. The role requires building scalable data foundations and analytics products, shaping modern People Data Science practices, and influencing decisions at senior leadership levels.

Responsibilities

• Communicate clear, business-relevant insights about talent using advanced data modeling
• Explore and apply AI to enhance insight generation, decision support, and experimentation
• Design and maintain People data infrastructure, including data pipelines and BigQuery models
• Develop scalable analytics tools and dashboards, including AI-enabled products, in collaboration with Data Engineering and HR Operations
• Partner with the People Team and business leaders to define and analyze key talent questions
• Lead data initiatives across functions such as Recruiting, Talent Management, and DEIB
• Promote a culture of data-informed decision-making across the entire organization
• Translate complex statistical analysis into actionable recommendations for non-technical stakeholders

Requirements

• BA/BS degree in a quantitative field such as Economics, Statistics, or Psychology
• Minimum 4 years of experience in data science or analytics
• At least 1 year specifically within People Data Science or People Analytics
• Proven proficiency in SQL for querying large datasets
• Familiarity with programming languages such as R or Python and visualization tools like Tableau
• Experience with managing data pipelines and data warehousing environments
• Strong written and verbal communication skills for presenting to senior leadership
• Proven ability to independently drive projects and collaborate effectively across cross-functional teams

Compensation

Expected Salary Ranges (by location):

• Tier 1 (SF, Bay Area, San Jose, NYC, Seattle): $197,200 — $255,200 USD
• Tier 2 (Austin, DC, CA, MA, NJ, WA): $177,700 — $229,200 USD
• Tier 3 (All other US locations): $167,500 — $216,700 USD

*Actual salaries will vary based on job level, qualifications, skills, competencies, and proficiency for the role.*

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

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