Data Scientist

Opportunity Overview: We are seeking a Data Scientist to play a pivotal role in developing AI-driven healthcare enterprise applications. The ideal candidate will work with large datasets to uncover opportunities for product and process optimization. This role calls for hands-on experience in data modeling and solution optimization, along with a proven ability to deliver actionable, data-backed insights. Strong collaboration skills are essential, as you will partner with internal stakeholders and cross-functional teams to drive meaningful results. In our fast-paced environment, adaptability is key—your ability to pivot quickly and respond to business priorities will ensure you make the greatest possible impact. What you’ll do: Develop a deep understanding of business challenges and translate them into effective analytical solutions. Analyze complex datasets to uncover trends, patterns, and actionable insights that support strategic initiatives. Design, build, and maintain data models and reporting systems, leveraging both classical and modern machine learning and deep learning algorithms to enable robust analysis and informed decision-making. Evaluate and report on model performance and business impact, ensuring insights are clear, actionable, and effectively communicated. Proactively identify opportunities for product and process improvements using advanced analytics and machine learning techniques. Ensure accuracy and reliability of data-driven solutions through rigorous testing, validation, and continuous optimization. Stay ahead of industry trends by keeping up with emerging technologies and best practices in AI, machine learning, and healthcare analytics. Required Qualifications: 4+ years of hands-on experience in Python with strong proficiency in libraries such as Pandas, NumPy, SciPy, Matplotlib, and regular expressions. Advanced SQL querying and optimization for large datasets. Practical experience in training, tuning, and testing ML algorithms (e.g., SVM, CART, Bagging, Boosting) and text mining techniques; familiarity with modern ML/DL approaches. Experience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions. Ability to integrate multiple data sources into streamlined, scalable pipelines and work with unstructured data (text, images) to transform it into clean, structured formats. Strong knowledge of Object-Oriented Programming (OOP) and experience creating custom Python packages for serverless applications. Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend. Solid understanding of probability, statistics, and ability to uncover patterns and insights from complex datasets. Experiment and rapidly prototype design frameworks, validate hypotheses efficiently, and iterate on AI/ML models to support fast-paced development. Evaluate and optimize models by building robust evaluation frameworks and applying custom metrics to ensure high performance and reliability.        Good to Have   Familiarity with healthcare payment integrity, claims processing, and compliance frameworks. Strong understanding of relational and NoSQL database design principles for scalable data storage and retrieval. Experience in  orchestration, and packaging ML models for production environments. Knowledge of CI/CD pipelines for ML, model versioning, and monitoring in production. Experience with cutting-edge techniques such as reinforcement learning, graph neural networks, or federated learning. Exposure to tools like Quicksight, Power BI, or similar for communicating insights effectively. Ability to guide and mentor junior associates, fostering best practices in coding, analytics, and model development. Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Interview Process*: Connect with Talent Acquisition  Meet with the Hiring Manager Behavioral Interview(s) Case Study Interview with Senior Leadership *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.  With the acquisition of ZignaAI, we expanded our AI-native platform with a comprehensive Payment Integrity Suite that spans data mining, clinical and coding validation, authorization and claims reconciliation, and end-to-end payment integrity services across pre- and post-pay workflows. By connecting clinical and payment insights, our