Senior Data Scientist 2

Job Description

Company Description ModMed India is an intelligent, specialty-specific cloud platform dedicated to placing doctors and patients at the center of care. The company was founded in 2010 and has since expanded to over 4500 employees serving eleven specialties. ModMed is headquartered in Florida, USA, with offices in Santiago, Chile; Berlin, Germany; and Hyderabad, India. Role Description This is a full-time hybrid role for a Senior Data Scientist 2 at ModMed India. The role involves day-to-day tasks related to data science, statistics, data analytics, data visualization, and data analysis. While based in Hyderabad, some work from home is acceptable. Key Responsibilities : Data Modeling and Analytics : Develop and implement machine learning models, algorithms, and statistical tools to process large volumes of healthcare data for predictive insights and optimization. Data Mining and Exploration : Analyze structured and unstructured data to discover trends, correlations, and patterns that can drive new product features or enhance existing offerings. Predictive Analytics : Build predictive models to anticipate patient needs, streamline operational workflows, and improve healthcare delivery. Research and Development : Keep abreast of the latest developments in machine learning, data science, and healthcare analytics to drive innovation and improvement in ModMed’s AI offerings. Skillset & Qualification: Technical Expertise: Proficient in NLP, Gen AI & LLM with Python, R, SQL, and data manipulation libraries (e.g., Pandas, NumPy, SciPy). Strong experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). Familiarity with big data platforms like Hadoop, Spark, or AWS/GCP. Experience working with healthcare data formats (HL7, FHIR) and privacy standards (HIPAA) is a plus. Machine Learning & Statistics : Expertise in building and deploying machine learning models, including classification, regression, and clustering techniques. Education : Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related technical field. Experience : 5+ years of experience in data science, machine learning, or predictive modeling, preferably in healthcare or a similar data-rich domain. Problem Solving : Strong analytical skills with the ability to translate complex business problems into data-driven solutions. Communication : Excellent verbal and written communication skills to explain technical concepts to non-technical stakeholders. Preferred : Experience with healthcare-related analytics, including patient outcomes, clinical workflows, and operational efficiencies. Show more Show less