Data Scientist

The role

The Data Scientist will develop AI-driven healthcare enterprise applications. This person will analyze complex datasets to uncover trends and design, build, and maintain data models and reporting systems.

What you will do

• Translate business challenges into effective analytical solutions.
• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Design, build, and maintain data models and reporting systems.
• Evaluate and report on model performance and business impact.
• Identify opportunities for product and process improvements using advanced analytics and machine learning.
• Ensure accuracy and reliability of data-driven solutions through testing and validation.
• Stay updated on emerging technologies in AI, machine learning, and healthcare analytics.
• Align to organization policies and procedures.
• Follow Information Security practices.

Required qualifications

• 4+ years of hands-on experience in Python with proficiency in 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, and semantic embeddings.
• Ability to integrate multiple data sources into scalable pipelines and work with unstructured data.
• Strong knowledge of Object-Oriented Programming (OOP).
• 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 and statistics.
• Ability to experiment, prototype design frameworks, validate hypotheses, and iterate on AI/ML models.

Nice to have

• Familiarity with healthcare payment integrity, claims processing, and compliance frameworks.
• Strong understanding of relational and NoSQL database design principles.
• 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 reinforcement learning, graph neural networks, or federated learning.
• Exposure to tools like Quicksight, Power BI, or similar.
• Ability to guide and mentor junior associates.

Before you apply

• Connect with Talent Acquisition
• Meet with the Hiring Manager
• Behavioral Interview(s)
• Case Study
• Interview with Senior Leadership

About the company

Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs. The company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.