- Hybrid
New Delhi, भारत
Vacancy description
Credence Global Solutions
Pune, भारत
Company Description:Credence Global Solutions, headquartered in Dallas, TX, is a global provider of technology, human resources, and offsite infrastructure solutions for revenue cycle and accounts receivable https://jobeax.com/link/9uEXjw2ZT3VtzUvm over 2,500 employees worldwide, the company supports clients in healthcare, telecommunications, utilities, and media & https://jobeax.com/link/4tjXiNchfsQEscct Global Solutions focuses on operational excellence, innovative technology, and scalable support models to optimize financial performance and customer https://jobeax.com/link/DezANfbImh0u7UVJ members collaborate across geographies to deliver high-impact, data-driven solutions for complex business https://jobeax.com/link/QIMsWvsAw5eTxhnu Description:The Lead Data Scientist is a full-time, on-site role based in the Pune https://jobeax.com/link/tdCWlxjDV62W7iks role is responsible for designing and implementing data science solutions that drive revenue optimization, operational efficiency, and strategic decision-making across multiple industry verticals.Day-to-day responsibilities include leading end-to-end data science projects, building predictive and prescriptive models, performing advanced statistical analysis, and translating business requirements into analytical https://jobeax.com/link/phVDxzJm4iMhOPlc Lead Data Scientist will guide a team of analysts and data scientists, review and refine methodologies, and present findings and recommendations to senior https://jobeax.com/link/zZjKjknB4Q1Px7Kc role also includes collaborating with engineering and operations teams to operationalize models, improve data quality, and establish best practices in analytics and data https://jobeax.com/link/0wGHTJrlTIBvTNSb Requirements:- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.- 8 - 12+ years of experience in data science, AI/ML, GenAI, LLM Ops, and healthcare analytics.- Proven expertise in Agentic AI, multi-agent orchestration, and autonomous agent development.- Hands-on experience with cloud platforms (AWS, Azure, GCP) and production deployment of AI models.- Strong knowledge of HIPAA, SOC 2, GDPR, and compliance frameworks in healthcare. (ref:hirist.tech)
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