Data Scientist

Cohere Health; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Cohere Health is looking for a skilled Data Scientist to play a pivotal role in developing AI-driven healthcare applications. This position involves working with large datasets and requires hands-on experience in data modeling, analytics, and machine learning. The ideal candidate will collaborate with stakeholders to deliver actionable insights, ensuring data-driven solutions are accurate and reliable.

The role demands strong Python skills, familiarity with various ML techniques, and the ability to work with cloud services like AWS for data operations. Join Cohere Health to make a significant impact in the healthcare sector.

Qualifications

• 4+ years of experience in Python with strong data manipulation libraries.
• Hands-on experience with machine learning algorithms and text mining.
• Familiarity with GenAI and data enrichment techniques.
• Ability to build scalable data workflows for unstructured data.
• Experience with AWS services for data processing and analytics.

Responsibilities

• Translate business challenges into effective analytical solutions.
• Analyze complex datasets for trends and actionable insights.
• Develop and maintain data models for robust analysis.
• Optimize model performance and business impact reporting.
• Stay updated with emerging technologies in AI and healthcare analytics.

Skills

Python proficiency

Data analysis using Pandas, NumPy, SciPy

Machine Learning techniques

SQL optimization

AWS services (Lambda, EC2, etc.)

OOP and Python packages

Tools

Matplotlib

Data pipeline tools

Job description

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.

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.

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.