Ladders
Sr Data Scientist, People Analytics
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
24 September 2026
What they need
For our client, we are seeking a Sr Data Scientist, People Analytics to join the team of a leader in the Real Estate & Construction space.
This role will focus on forecasting, predictive modeling, and advanced analytics to support people-related decision-making across the organization. The ideal candidate will partner closely with HR and Data Engineering teams to translate workforce questions into scalable analytical solutions. You will also apply AI and LLM techniques to structured and unstructured people data while ensuring sensitive information is handled with care.
Through data-driven insights and model development, this position will help leadership improve planning, automate decisions, and strengthen workforce strategy.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $120,000 – $145,000 annually
Responsibilities
- Partner with HR leaders to understand forecasting needs and translate them into analytical solutions
- Build and deploy predictive models using Python and SQL
- Create AI agents to interact with people data and automate decision processes
- Select appropriate methodologies for a range of analytical questions and explain results to leadership
- Use LLMs to analyze unstructured people data and integrate findings into models
- Work closely with Data Engineering to structure the data needed for modeling
- Ensure sensitive workforce data is handled with appropriate discretion
Qualifications
- Bachelor's degree in a related analytical field
- 5+ years of data science experience; 1+ years with a PhD or 3+ years with an MS
- Expertise in predictive modeling techniques, including regression and time series forecasting
- Strong foundation in statistics, experimentation, and causal inference
- Proficiency in SQL and Python, with experience building large-scale models
- Hands-on experience with LLMs and data structuring techniques
- Ability to communicate complex concepts to non-technical audiences
Benefits
- Comprehensive health insurance plans, including Medical, Dental, and Vision
- 401(k) Retirement Plan with a 1:1 company match up to 5%
- Paid parental leave and an associate assistance plan
- Education assistance program and adoption assistance up to $30,000
- Up to three weeks of vacation annually plus generous leave policies
- New hire referral bonus program and home purchase discounts
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.
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