{"id":127627,"url":"https://alion.io/job/cohere-health-data-scientist","title":"Data Scientist","company":{"id":48018,"name":"Cohere Health","domain":"coherehealth.com","url":"https://alion.io/company/cohere-health","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":10,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Embeddings","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"Federated Learning","optional":true},{"name":"Power BI","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-06-04T20:02:36Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-10-17T20:31:26Z","board_verified":true,"closed_at":null,"days_open":135,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":134},"description":"Opportunity Overview:\nWe 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.\nWhat you’ll do:\nDevelop a deep understanding of business challenges and translate them into effective analytical solutions.\nAnalyze complex datasets to uncover trends, patterns, and actionable insights that support strategic initiatives.\nDesign, 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.\nEvaluate and report on model performance and business impact, ensuring insights are clear, actionable, and effectively communicated.\nProactively identify opportunities for product and process improvements using advanced analytics and machine learning techniques.\nEnsure accuracy and reliability of data-driven solutions through rigorous testing, validation, and continuous optimization.\nStay ahead of industry trends by keeping up with emerging technologies and best practices in AI, machine learning, and healthcare analytics.\nISMS roles and responsibilities:\nFair understanding of Information Security practices. \nAlign to the organization policies and procedures.\nEnsure to get updated with ISMS roles as assigned by the department/process heads.\nRequired Qualifications:\n4+ 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.\nPractical experience in training, tuning, and testing ML algorithms (e.g., SVM, CART, Bagging, Boosting) and text mining techniques; familiarity with modern ML/DL approaches.\nExperience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions.\nAbility to integrate multiple data sources into streamlined, scalable pipelines and work with unstructured data (text, images) to transform it into clean, structured formats.\nStrong knowledge of Object-Oriented Programming (OOP) and experience creating custom Python packages for serverless applications.\nHands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend.\nSolid understanding of probability, statistics, and ability to uncover patterns and insights from complex datasets.\nExperiment and rapidly prototype design frameworks, validate hypotheses efficiently, and iterate on AI/ML models to support fast-paced development.\nEvaluate and optimize models by building robust evaluation frameworks and applying custom metrics to ensure high performance and reliability.\n Good to Have \nFamiliarity with healthcare payment integrity, claims processing, and compliance frameworks.\nStrong understanding of relational and NoSQL database design principles for scalable data storage and retrieval.\nExperience in orchestration, and packaging ML models for production environments.\nKnowledge of CI/CD pipelines for ML, model versioning, and monitoring in production.\nExperience with cutting-edge techniques such as reinforcement learning, graph neural networks, or federated learning.\nExposure to tools like Quicksight, Power BI, or similar for communicating insights effectively.\nAbility to guide and mentor junior associates, fostering best practices in coding, analytics, and model development.\nAbility to commute/relocate:\nHyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)\nInterview Process*:\nConnect with Talent Acquisition \nMeet with the Hiring Manager\nBehavioral Interview(s)\nCase Study\nInterview with Senior Leadership\n*Subject to change\nAbout Cohere Health:\nCohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum-including policy, prior authorization, payment accuracy, and more-the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. \nWith the acquisition of ZignaAI, we expanded our AI-native platform with a comprehensive Payment Integrity Suite that spans data mining, clinical and coding validation, authorization and claims reconciliation, and end-to-end payment integrity services across pre- and post-pay workflows. By connecting clinical and payment insights, our transparent, AI-powered solutions help health plans proactively improve payment accuracy, reduce waste and vendor dependency, strengthen provider relationships, and build smarter, more efficient payment integrity programs.\nCohere Health’s innovations continue to receive industry-wide recognition. We’ve been recognized on TIME’s World Top HealthTech Companies 2025 list, the 2025 Inc. 5000 list, in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024.\nWe can’t wait to learn more about you and meet you at Cohere Health!\nEqual Opportunity Statement: \nCohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. 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