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 Now
Apply Now
• 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 Now
Apply Now