Data Scientist

Responsibilities

• 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:
• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
• Interview Process*:
• Connect with the Hiring Manager for a Preliminary Phone Screening
• Behavioral Interview(s)
• Case Study
• Interview with Senior Leadership
• *Subject to change
• About ZignaAI, a Cohere Health Company:

Benefits

Additional Information

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.

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