Data Science Intern

What You Will Be Doing

As a Data Science Intern at Premier Inc., you will play a crucial role in supporting the data scientist team with product development and model research and development. This position offers an exciting opportunity to apply your knowledge of statistics, programming, data modeling, and mathematical techniques to identify patterns, recognize business opportunities, and contribute to prototype development and product improvement.

You will work closely with Data Scientists and Product Engineers, supporting analyses and contributing to the development and deployment of machine learning models. Under the guidance of senior leaders, you will execute complex tasks and gain proficiency in new methodologies. Your contributions will help translate prototypes into new products, services, and features, providing guidelines for large-scale implementation.

Key Responsibilities

• Responsibility #1 – Data Preparation and Analysis (60%)
  • Work with clients, client operations, and development staff to acquire, assemble, and prepare datasets for analytic projects, leveraging knowledge of project and query processes to inform the structure of those datasets.
  • Conduct analysis and derive insights from unexpected findings, adjusting work processes as needed to maximize the research value of each project.
  • Interpret findings and present outcomes to the rest of the team.
• Responsibility #2 – Methodology Design and Development (25%)
  • Participate in data exploration and conceptual design for strategic initiatives.
  • Work with Data Scientists and Product Engineers in defining and documenting methodologies based on insights from data analysis.
  • Interact with beta client users to understand their experience with the methodology and incorporate feedback into updates and revisions, where required.
• Responsibility #3 – Product Development Implementation (10%)
  • Work with TPMs and the product team to implement methodologies developed.
  • Work with TPMs and the product team to assist with documentation of methodologies.
  • Support, where necessary, the development team in validating that methodologies have been implemented correctly in production.
• Responsibility #4 – Knowledge Sharing (5%)
  • Share and teach methodologies and approaches with other clients, using presentations and informal discussions.
  • Provide mentoring and training to peers.

Required Qualifications

Work Experience: 0 or more years of applicable experience.

Education: High School Diploma or GED (Required).

Preferred Qualifications

Skills:

• Coursework around Statistics, Machine Learning.
• Proficient in Python.
• Healthcare data analytics.

Experience:

• Major healthcare datasets (EHR, claims or billing data).
• Expertise in relational databases.

Education:

• Rising junior or senior in Bachelor’s degree program; MBA.

Additional Job Requirements

• Ability to remain in a stationary position for prolonged periods of time.
• Be adaptive and change priorities quickly; meet deadlines.
• Attention to detail.
• Operate computer programs and software.
• Ability to communicate effectively with audiences in person and in electronic formats.
• Day-to-day contact with others (co-workers and/or the public).
• Making independent decisions.
• Ability to work in a collaborative business environment in close quarters with peers and varying interruptions.

Key skills/competency

• Data Science
• Machine Learning
• Statistics
• Python
• Data Modeling
• Data Analysis
• Healthcare Data
• Relational Databases
• Product Development
• Communication