Data Scientist, People

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist, People Foster City, CA | Hybrid | Remote Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE At https://replit.com?utm_source=chatgpt.comReplit, we're building an AI-native company - and that includes how we operate internally. We're looking for a Data Scientist, People to help us build the intelligence systems behind hiring, compensation, performance, organizational design, and workforce planning. This is not a traditional People Analytics role focused on dashboards and reporting. We want someone who can use data, AI, and automation to help the company make faster and better talent decisions at scale. You'll work across HR, Recruiting, Finance, and Data Engineering to build models, tools, and workflows that improve how the company hires, rewards, retains, and organizes talent. You'll report into Data Science and partner closely with the People leadership team. IN THIS ROLE, YOU WILL - Build the analytical foundation to evaluate compensation competitiveness. Connect Ashby offer data, band position, acceptance rates, and market benchmarks into a live system that recommends specific adjustments. - Develop predictive models and tooling that help managers and recruiters make better decisions faster. Example: a regretted attrition model that flags at-risk employees 90 days in advance and surfaces the underlying signals directly into manager 1:1 prep. - Design and deploy AI agents that draft first-pass recommendations for high-stakes People decisions, including compensation, promotion, and hiring. People leaders

Read the full description at jobs.ashbyhq.com. FewerJobs shows a preview and links to the original posting.