Data Science II
Actively Reviewing the ApplicationsCohere Health
India, Telangana, Hyderabad
Full-Time
On-site
Posted 5 hours ago
•
Apply by June 6, 2026
Job Description
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
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t 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, it’s personal.
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.
- 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.
- 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.
- Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
- Connect with the Hiring Manager for a Preliminary Phone Screening
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
- Subject to change
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t 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, it’s personal.
Required Skills
Machine Learning
Engineering
Reporting
Leadership
Compliance
Monitoring
Python
SQL
Training
AWS
CI/CD Pipelines
Power BI
Pandas
NumPy
SciPy
Deep Learning
Healthcare
Neural Networks
Reinforcement Learning
NoSQL
CI/CD
Testing
EC2
Statistics
Object-oriented programming
Lambda
Analytics
OOP
Validation
EMR
Hiring
Algorithms
Athena
Orchestration
Screening
Database Design
Packaging
Data models
Reporting Systems
Model development
Graph
Images
Semantic
Design frameworks
SVM
Relational
Mining
Data sources
Machine Learning techniques
Telangana
Advanced Analytics
Design Principles
Healthcare analytics
Semantic embeddings
Text mining
Compliance frameworks
Claims processing
Experiment
GenAI
Prompt engineering
Unstructured data
Machine Learning and
Retrieval
Probability
Data enrichment
AWS Services
Storage
Batch
Classification
Bagging
Boosting
Matplotlib
Expressions
AI/ML
Prototype
Querying
Serverless
ML algorithms
Embeddings
QuickSight
Data storage
Emerging technologies
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