Data Science Intern

Premier Inc.•Charlotte, NC

3d•$52,000 - $78,000•Onsite

About The Position

This position will have responsibility for supporting the data scientist team with product development and model research and development. Apply knowledge of statistics, programming, data modeling, and other mathematical techniques to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. This individual will be responsible for supporting analyses alongside a Data Scientist and Product Engineer as well as the development and deployment of machine learning models. This individual may be expected to execute complex tasks under the guidance of these senior team leaders and be able and willing to gain proficiency with new methodologies over time. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.

Requirements

0 or more years of Applicable Work Experience
High School Diploma or GED (Required)
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

Nice To Haves

Coursework around Statistics, Machine Learning
Proficient in Phython
Healthcare data analytics
Major healthcare datasets (EHR, claims or billing data)
Expertise in relational databases
Rising junior or senior in Bachelor’s degree program; MBA

Responsibilities

Data Preparation and Analysis: Work with clients, client operations and development staff to acquire, assemble and prepare datasets for analytic projects, leveraging knowledge of project and query process to inform the structure of those datasets. Conduct analysis and derive insights from unexpected findings, adjusting work process as needed to maximize the research value of each project. Interpret findings and present outcomes to rest of team.
Methodology design and development: Participate in data exploration and conceptual design for strategic initiatives. Work with Data Scientist and Product Engineer 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.
Product development implementation: Work with TPMs and product team to implement methodologies developed. Work with TPMs and product team to assist with documentation of methodologies. Support, where necessary, the development team in validating that methodologies have been implemented correctly in production.
Knowledge Sharing: Share and teach methodologies and approaches with other clients, using presentations and informal discussions. Provide mentoring and training to peers.