Sr. Data Scientist, Healthcare

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.

Data Science and Analytics (60%)

• 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.

Collaboration and Cross-Functional Leadership (20%)

• 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.

• Participate in cross-functional meetings and workshops, contributing to the alignment of data science efforts with platform development and business objectives.

Innovation and Continuous Improvement (20%)

• 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.

• Experiment with and evaluate emerging tools and methodologies, driving innovation within the data science team and across the platform.

• Mentor product team and junior data scientists and provide guidance on best practices in data science, model development, and data management.

Qualifications:

• 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.

Competencies:

• Technical Acumen: Deep expertise in data science, machine learning, and AI, with the ability to apply these skills to solve complex healthcare problems.

• Analytical Thinking: Strong analytical skills with the ability to translate data into actionable insights that inform product development and business strategy.

• Collaboration: Works effectively with cross-functional teams, ensuring alignment and integration of data science solutions across the platform.

• Innovation: Demonstrates a commitment to continuous learning and innovation, experimenting with new tools and techniques to drive improvements in data science.

• Leadership: Provides mentorship and guidance to junior data scientists, fostering a culture of excellence and continuous improvement.

Physical Demands:

• Regularly required to use hands to operate computer and office equipment.

• Frequently required to communicate with internal teams and external stakeholders, both in person and virtually.

• Occasionally required to move or lift up to 25 pounds.

As an Inmar Associate, you will:

• Put clients first, consistently displaying a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients’ needs.

• Build collaborative relationships, working cooperatively with others inside and outside the organization to accomplish objectives and achieve results.

• Set and attain achievable yet aggressive goals with a sense of urgency and accountability, focusing on turning mission into action to achieve results.

This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.

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At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages.

Eligible associates have access to:

• Medical, Dental, and Vision insurance

• Basic and Supplemental Life Insurance options

• 401(k) retirement plans with company match

• Health Spending Accounts (HSA/FSA)

We also offer:

• 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

Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms.

We are an Equal Opportunity Employer, including disability/vets.

This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.