Senior Data Scientist, People Analytics

This is a fully remote position, open to applicants in Florida, +1 more state.

📋 Description

• Collaborate closely with HR leaders to identify forecasting and automation requirements.

• Develop predictive models and AI agents for workforce analytics.

• Create and implement predictive models utilizing Python and SQL.

• Assess model performance, re-evaluate models with fresh data, and enhance models when accuracy declines.

• Create AI agents that can query People data, analyze it, and take necessary actions.

• Establish tools, orchestration, and safeguards for the secure management of sensitive workforce data.

• Choose suitable analytical techniques, conduct experiments, apply causal inference, quantify uncertainty, and communicate methodologies to senior leadership.

• Leverage LLMs to identify trends in unstructured People data, including survey feedback and exit interview notes.

• Gain familiarity with Lennar’s people data, extract and format model inputs, identify data deficiencies, and collaborate with Data Engineering on data pipelines.

• Articulate statistical concepts, model outcomes, and agent functions to HR and business stakeholders.

• Manage sensitive workforce and compensation information with care.

• Report directly to the Head of People Analytics.

⛳️ Requirements

• A Bachelor’s degree or higher in Statistics, Economics, Mathematics, Computer Science, or a related analytical discipline with equivalent experience.

• Over 5 years of relevant experience, or 1+ years with a PhD, or 3+ years with a Master's degree as a data scientist, delivering models and engineering solutions in a production setting.

• Expertise in predictive modeling, including regression, time series forecasting, and classification techniques.

• Strong grounding in statistics, including experimentation and causal inference.

• Capacity to work autonomously, design validation methodologies, and communicate processes to both technical and non-technical audiences.

• Practical experience in developing applications with LLMs, including agents, tool utilization, function calling, retrieval, or prompt-driven workflows.

• Proficiency with tools such as Claude to enhance development speed.

• Experience handling large, intricate operational or HR datasets, including cleaning, structuring messy data, and extracting data via SQL or APIs.

• Proficient in SQL.

• Strong command of Python.

• Ability to convey model findings and agent actions in straightforward terms to non-technical HR and business leaders.

• Capability to use computer equipment, and perform physical tasks such as speaking, hearing, bending, stooping, reaching, lifting, and moving or carrying up to 25 lbs.

• Manual dexterity.

🏝️ Benefits

• Medical, Dental, and Vision coverage.

• 401(k) Retirement Plan with a $1 for $1 Company Match up to 5%.

• Paid Parental Leave.

• Associate Assistance Plan.

• Education Assistance Program.

• Up to $30,000 in Adoption Assistance.

• Up to three weeks of vacation annually from the date of hire.

• Holiday Leave.

• Sick Leave.

• Personal Day policies.

• New Hire Referral Bonus Program.

• Home Purchase Discounts.

• Everyone’s Included Day.