Ivy Rehab→
Data Scientist, People & Workforce Analytics at Ivy Rehab · Philadelp…
Skills
Job Description
State of Location:
PennsylvaniaPosition Summary:
Join Ivy Rehab’s dedicated team where you’re not just an employee, but a valued teammate! Together, we provide world-class care in physical therapy, occupational therapy, speech therapy, and applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth, community, and a passion for exceptional care for every patient.
Job Description:
Ivy Rehab Network is seeking a Data Scientist with a focus on People and Workforce Analytics to join our New Jersey/New York team. This role is designed for a technical innovator who can leverage Ivy’s data ecosystem to build predictive models and deploy cutting-edge AI tools—including LLMs and AI Agents—to transform how we manage our 7000+ teammates, improve the teammate experience, operational performance, and workforce efficiency.
The Analytics & Insights department provides data-driven strategies across the organization. In this HR-focused role, you will:
Optimize the Teammate Experience: Use data to improve recruitment, retention, and engagement.
Solve Complex Workforce Problems: Address challenges such as turnover prediction, compensation equity, and productivity.
Drive Actionable Insights: Query our Snowflake Data Lake to join large HR datasets (e.g., payroll, ATS, engagement surveys) to uncover trends.
Full Lifecycle Projects: Lead People Analytics projects from initial hypothesis to final executive presentation.
Deploy Predictive Solutions: You will be responsible for the end-to-end development, deployment, and maintenance of machine learning models in production environments to solve complex workforce problems.
Drive Self-Service AI: You will develop and implement AI Agents and LLM-based tools that allow non-technical HR partners to query workforce data and receive actionable insights through natural language.
Scale People Strategy: By joining large datasets from our Snowflake Data Lake, you will uncover trends in recruitment, retention, and teammate engagement to inform executive-level strategy.
How You’ll Spend Your Day
Advanced Modeling: Develop statistical models and machine learning pipelines to predict workforce trends, such as "likelihood to leave" or hiring success.
Hypothesis Testing: Perform rigorous testing on HR initiatives to determine their impact on teammate performance and satisfaction.
ML Engineering: Build and maintain machine learning pipelines that automate the delivery of critical business metrics and pattern recognition in large HR datasets.
AI Innovation: Identify and implement use cases for Generative AI, specifically developing agents that accelerate data cleaning and feature engineering
Integration: Seamlessly integrate predictive outputs and AI-driven insights into Power BI dashboards to promote a culture of self-service analytics
Diagnostic Analysis: Run model diagnostics (VIFs, correlation coefficients) to ensure the fairness and accuracy of people-related models.
Visualization & Reporting: Design Power BI dashboards that allow HR leadership to track critical metrics like headcount, diversity, and turnover in real-time.
Collaboration: Partner with HR stakeholders to translate business questions into technical requirements.
What You’ll Need
Education: Master’s Degree in Data Science, Statistics, Economics, Industrial-Organizational Psychology, or a related field.
ML/AI Expertise: * Demonstrated experience deploying machine learning models into production environments.
Experience with Python, R, and SQL, including libraries used for LLM orchestration or AI agent development.
Proficiency in automating data processing tasks through scripting and Snowflake/Snowpark.
Experience: 3+ years of experience querying data lakes (Snowflake preferred) and manipulating large datasets to perform advanced and predictive analytics
Communication: Ability to present results using professional formatting and graphical representations that clearly communicate insights to non-technical business partners.
Analytical Rigor: Demonstrated experience in data cleaning, feature engineering, and model diagnostics.
Soft Skills: Ability to communicate technical findings to non-technical HR business partners effectively.
What will help you excel?
Ability to identify data irregularities, perform quality assurance checks, and present findings and proposed solutions to leadership.
Ability to work in a fast-paced environment while maintaining a positive attitude.
Flexible positive attitude: Hungry to solve problems and grow within the organization.
Self-motivated with the willingness to exceed expectations, learn and grow.
Excellent written and verbal communication and presentation skills
Ability to prepare written analysis and summarize results using graphical representations and professional formatting.
Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners
Ability to work with end users and translate business requirements into technical requirements/solutions.
Outstanding time management skills and ability to multitask
Self-starter, able to work with limited supervision
Demonstrates curiosity and a creative approach to problem-solving
Comfort and confidence in working within a rapidly developing data lake and warehouse environment
Proficient in Microsoft Word, Excel, and PowerPoint
Why choose Ivy?
Best Employer: A prestigious honor to be recognized by Modern Healthcare, signifying excellence in our industry and providing an outstanding workplace culture.
Exceeding Expectations: Deliver best-in-class care and witness exceptional patient outcomes.
Incentives Galore: Eligibility for full benefits package beginning within your first month of employment. Generous PTO (Paid Time Off) plans and paid holidays.
Empowering Values: Live by values that prioritize teamwork, growth, and serving others.
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We are an equal opportunity employer, committed to diversity and inclusion in all aspects of the recruiting and employment process. Actual salaries depend on a variety of factors, including experience, specialty, education, and organizational need. Any listed salary range or contractual rate does not include bonuses/incentive, differential pay, or other forms of compensation or benefits.