Data Scientist, Healthcare Supply Chain and Compliance
About The Position
The Data Scientist for Supply Chain and Compliance will play a crucial role in developing and implementing data science solutions that support the Inmar Intelligence Platform’s Supply Chain and Compliance capabilities. Depending on experience, this role can range from a junior position focusing on foundational data science tasks to a more senior role involving the design and deployment of advanced machine learning models and analytics solutions. Reporting to the Director of Data Science or a Senior Data Scientist, the Data Scientist will collaborate with cross-functional teams, including data engineering, product management, and other data scientists, to deliver data-driven solutions that align with the strategic goals related to our Supply Chain Products & Compliance Solutions. This position is ideal for data scientists at various career stages who are eager to apply their technical skills to solve real-world problems in the healthcare industry.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
- 5-7 years of experience in data science, with a strong focus on machine learning, predictive analytics, and AI, including experience in the healthcare sector preferred but not required.
- 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).
- 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.
Nice To Haves
- experience in the healthcare sector preferred but not required.
Responsibilities
- Data Science and Model Development Develop and deploy machine learning models, predictive analytics, and artificial intelligence solutions to enhance the Healthcare Supply Chain & Compliance capabilities.
- Analyze and interpret large, complex healthcare datasets to uncover patterns, trends, and insights that inform product development and strategic decision-making.
- Support the building and optimization of data pipelines, ensuring data quality and consistency across the platform.
- Collaboration and Cross-Functional Teamwork Work closely with the Data Science, Data Engineering, and Product Management teams to implement data science solutions within the platform’s architecture.
- Participate in cross-functional meetings to ensure alignment of data science initiatives with broader platform development goals.
- Collaborate with product management to ensure that data science outputs meet business requirements and support product features.
- Continuous Learning and Innovation Stay current with the latest developments in data science, machine learning, and AI, applying new techniques and technologies as appropriate.
- Participate in team learning sessions, workshops, and code reviews to continuously improve skills and contribute to the team’s knowledge base.
- Depending on experience, mentor junior data scientists and provide guidance on best practices in data science, model development, and data management.
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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
501-1,000 employees
