Data Scientist, Healthcare Supply Chain And Compliance

Position Summary:

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.

Primary Accountabilities:

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.

Qualifications:

• 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.

Competencies:

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

• Analytical Thinking: Ability to analyze complex data and generate insights that contribute to product development and business decisions.

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

• Continuous Improvement: Demonstrates a commitment to learning and improving technical skills, seeking out opportunities for growth and development.

• Problem Solving: Approaches challenges with a solution-oriented mindset, eager to explore new methods and technologies.

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.

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.

Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice.

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.