Senior Data Scientist, People Analytics & Research

Ladders; United States; Remote; USD 180,000 - 210,000; Full time

Benefits offered by this job

Remote work eligibility with office as

Bonuses and equity

Employee travel credits

Comprehensive benefits package

Learning and development

Job summary

Ladders is seeking a Senior Data Scientist, People Analytics & Research, to apply advanced statistical methods to solve complex workforce problems and guide strategic HR decisions. This role partners with HR, Recruiting, legal, and other stakeholders to deliver actionable insights across recruitment, retention, compensation, and organizational effectiveness.

The position emphasizes rigorous analysis, storytelling, and practical business partnership, shaping research priorities and metrics, while

Qualifications

• 5+ years of experience in a quantitative field is required.
• Master's degree or PhD in a relevant discipline is required.
• Expertise in causal inference and quasi-experimental research is required.
• Proficiency in R or Python for statistical analysis and SQL for data access is required.
• Experience with compensation, recruiting, or workforce analytics is preferred.

Responsibilities

• Collaborate with stakeholders to identify and analyze people-related business problems.
• Use statistical models to generate insights into recruiting, retention, and organizational effectiveness.
• Translate data into visualizations and narratives that support strategic decisions.
• Align research priorities with business needs while maintaining a customer-focused approach.
• Lead compensation analytics and partner with legal teams on sensitive analyses.
• Design and measure quality-of-hire metrics in partnership with Recruiting.
• Continuously learn and teach to advance data science and people analytics.
• Leverage AI tools to enhance analysis and research capabilities.

Skills

5+ years exp in quantitative field

Strong communication

Cross-functional collaboration

R or Python

SQL

Education

Master's or PhD in a relevant discipline

Tools

R/Python

SQL

Job description

For our client, we are seeking a Senior Data Scientist, People Analytics & Research to join the team of a leader in the Business Services space.

This role will focus on using advanced statistical and research methods to solve complex people-related business problems and inform strategic decisions. You will partner closely with HR, Recruiting, legal, and other stakeholders to strengthen workforce insights across recruiting, retention, compensation, and organizational effectiveness. The position combines rigorous analysis, clear storytelling, and practical business partnership in support of a customer-focused people strategy.

You will also help shape research priorities, develop meaningful metrics, and apply modern analytical tools to deepen understanding of the workforce and improve decision-making.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $180,000 – $210,000 annually

Responsibilities

• Collaborate with stakeholders to identify and analyze people-related business problems
• Use statistical models to generate insights into recruiting, retention, and organizational effectiveness
• Translate data into visualizations and narratives that support strategic decisions
• Align research priorities with business needs while maintaining a customer-focused approach
• Lead compensation analytics and partner with legal teams on sensitive analyses
• Design and measure quality-of-hire metrics in partnership with Recruiting
• Continuously learn and teach to advance data science and people analytics
• Leverage AI tools to enhance analysis and research capabilities

Qualifications

• 5+ years of industry experience in a quantitative field
• Master's degree or PhD in a relevant discipline
• Expertise in causal inference and quasi-experimental research
• Proficiency in R or Python for statistical analysis and SQL for data access
• Experience with compensation, recruiting, or workforce analytics
• Strong communication skills for cross-functional collaboration
• Familiarity with large datasets and survey design

Benefits

• Remote work eligibility with occasional office attendance
• Potential for bonuses and equity
• Employee travel credits
• Comprehensive benefits package
• Supportive work environment focused on learning and development

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.