Senior Data Scientist, Healthcare

Description: • The Sr. Data Scientist for Healthcare will play a pivotal role in developing and implementing advanced data science solutions that drive the Inmar Intelligence Supply Chain and Compliance capabilities. • Reporting directly to the VP, Healthcare Supply Chain Products and Compliance Solutions, this role involves collaborating with cross-functional teams, including data engineering, product management, and platform development, to deliver innovative analytics that unlock the value of Inmar’s healthcare data assets. • This position requires a deep understanding of data science, machine learning, and artificial intelligence, combined with the ability to translate complex data into actionable insights. • The Sr. Data Scientist will be responsible for designing and deploying models that enhance customer outcomes, streamline healthcare workflows, and support the strategic objectives of the Supply Chain & Compliance Product Portfolio. • Develop and deploy machine learning models, predictive analytics, and artificial intelligence solutions to enhance the Healthcare OS platform’s capabilities. • Lead the exploration and analysis of large healthcare datasets, uncovering patterns, trends, and insights that inform product development and strategic decision-making. • Collaborate with the Data Engineering team to build robust data pipelines, ensuring the integrity, quality, and security of data used in analytics and model development. • Work closely with the Director of Data Science to align Supply Chain and Compliance data science initiatives with the broader goals of the Healthcare OS platform. • Partner with product management, engineering, and other stakeholders to integrate data science solutions into the product’s front-end and back-end components. • Stay up-to-date with the latest developments in data science, machine learning, and AI, applying new techniques and technologies to improve existing models and develop new solutions. • Mentor product team and junior data scientists and provide guidance on best practices in data science, model development, and data management. Requirements: • Master’s degree in Data Science, Computer Science, Statistics, or a related field. • 5+ years of experience in data science, with a strong focus on machine learning, predictive analytics, and AI. • Proficiency in data science programming languages such as Python, R, and SQL, with experience using data science libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Strong understanding of data engineering principles, including data pipelines, ETL processes, and big data technologies (e.g., Hadoop, Spark). • Proven ability to work with large, complex datasets and develop scalable data science solutions that drive business impact. Benefits: • Medical, Dental, and Vision insurance • Basic and Supplemental Life Insurance options • 401(k) retirement plans with company match • Health Spending Accounts (HSA/FSA) • Flexible time off and 11 paid holidays • Family-building benefits, including Maternity, Adoption, and Parental Leave • Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning • Wellness and Mental Health counseling services • Concierge and work/life support resources • Adoption Assistance Reimbursement • Perks and discount programs Apply tot his job Apply To this Job