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Data Scientist

at Coherehealth

Hyderabad, Telangana, India, onsite, mid, 4+ years

posted 04 Jun 2026

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  • GenAI
  • AWS Athena
  • SVM
  • NumPy
  • QuickSight
  • NoSQL
  • AWS Textract
  • AWS EC2
  • Object-Oriented Programming
  • Python
  • Graph Neural Networks
  • AWS Lambda
  • Matplotlib
  • AWS Batch
  • SciPy
  • Power BI
  • Probability
  • Reinforcement Learning
  • Boosting
  • Text Mining
  • AWS EMR
  • Statistics
  • SQL
  • Prompt Engineering
  • AWS Comprehend
  • Relational Databases
  • Pandas
  • AWS S3
  • CI/CD
  • Federated Learning
  • Regular Expressions
  • Bagging
  • CART

About the role

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 would 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.

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.

What they are looking for

- 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.

Read from job-boards.greenhouse.io, last seen 3d ago.

- 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.

Ability to commute/relocate

- Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)