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 our fast-paced environment adaptability is keyyour ability to pivot quickly and respond to business priorities will ensure you make the greatest possible impact.

What youll 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*:

1. Connect with Talent Acquisition
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Healths 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 continuumincluding policy prior authorization payment accuracy and morethe 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 efficient payment integrity programs.

Cohere Healths innovations continue to receive industry-wide recognition. Weve been recognized on TIMEs World Top HealthTech Companies 2025 list the 2025 Inc. 5000 list in the Gartner Hype Cycle for U.S. Healthcare Payers (2022-2025) and ranked as a Top 5 LinkedIn Startup for 2023 & 2024.

We cant wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us its personal.

ISMS roles and responsibilities:

• Fair understanding of Information Security practices.
• Align to the organization policies and procedures.
• Ensure to get updated with ISMS roles as assigned by the department/process heads.