Lead Data Scientist
Location: Hyderabad
Experience: 8+ years
Mode of work: 5 days work from office
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
What you’ll need:
Must-haves
- 6+ years of experience in analytics or 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
- Proficiency in Python, R, or similar programming languages
- 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 working with healthcare data (EMR, claims, SDOH)
- Experience with cloud platforms (e.g., AWS)
- Familiarity with distributed data processing (e.g., PySpark, Spark SQL)
- Experience with search or graph-based data systems (e.g., Elasticsearch, graph databases)