State of Location: Pennsylvania Position 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. #LI-ST1 #LI-remote 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. ivyrehab.com