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Opportunity Overview: As a Lead Data Scientist at Cohere Health, you will drive high-impact analytics and modeling initiatives that directly inform product development, clinical strategy, and business decision-making. You’ll operate as a senior individual contributor, owning complex problem spaces end-to-end, from framing ambiguous questions to delivering actionable insights and scalable solutions. You’ll partner closely with Product, Clinical, and Engineering teams to translate real-world healthcare challenges into data-driven strategies, while helping elevate analytical rigor and best practices across the team. This role is ideal for someone who thrives in a fast-paced, mission-driven environment and wants to make a meaningful impact on how care is delivered. What you’ll do: Own and execute end-to-end analytical projects, from problem framing and data exploration to model development and delivery of insights Partner with cross-functional stakeholders to translate business and clinical questions into structured analytical approaches Develop advanced statistical models and analytical frameworks to drive decision-making and optimize outcomes Design and implement experiments, performance tracking, and hypothesis-driven analyses to inform product and clinical strategies Build scalable, reusable code and analytical assets to support ongoing insights and operationalization Communicate findings clearly through data visualization, storytelling, and executive-ready presentations Contribute to team best practices and mentor junior team members through guidance and review Required Qualifications: Must-haves 6+ years of experience in data science, ideally in healthcare or a mission-driven environment Strong experience translating ambiguous problems into structured analytical solutions Expertise in statistical modeling, experimentation, and data analysis methods Hands-on experience tuning and evaluating ML models for NLP tasks (e.g., transformers, large language models) Experience building and scaling data science solutions in cloud environments (e.g., AWS) Expertise in Python programming language Experience working with large, complex datasets (e.g., claims, EMR, or similar) Ability to communicate complex insights to both technical and non-technical audiences Nice-to-haves Experience applying data science solutions on healthcare data (EMR, claims, SDOH data) Familiarity with distributed data processing (e.g., PySpark, Spark SQL) Experience with search or graph-based data systems (e.g., Elasticsearch, graph databases) 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 transparent, AI-powered solutions help health plans proactively improve payment accuracy, reduce waste and vendor dependency, strengthen provider relationships, and build smarter, more efficien