At Accendra Health, we understand that healthcare is complex, and we’re here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve.
With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials.
If you’re interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™.
We are seeking a highly skilled Data Scientist with a strong background in machine learning, data engineering, and model optimization. The ideal candidate should be proficient in Python, PySpark, and SQL, experienced in time series forecasting, feature engineering, and data model performance evaluation,



and capable of working with large-scale data integration projects across various domains.
A large part of this role involves building machine learning models that not only meet but exceed user expectations, driving measurable value for the business. The candidate will need to have a robust grasp of data model optimization, feature engineering, and model evaluation metrics to ensure high-performance solutions.
This role also requires experience with cloud platforms, ETL tools, data transformation processes, and working with structured and unstructured data. While not required, familiarity with object-oriented programming languages (C#, Java, JavaScript) is a plus. Strong communication skills are essential for collaborating with cross-functional teams and presenting findings effectively.
Key Responsibilities:
Develop and optimize machine learning models with a focus on time series forecasting and predictive analytics.
Perform feature engineering and data model optimization to

📌 Data Scientist (India)
🏢 Owens & Minor
📍 India