Data Science Intern

Data Science Intern

What you will be doing:

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.

• Responsibility #1– 60% 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
• Responsibility #2 – 25% 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
• Responsibility #3 – 10% 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
• Responsibility #4 – 5% Knowledge Sharing
  • Share and teach methodologies and approaches with other clients, using presentations and informal discussions Provide mentoring and training to peers

Work Experience:

Years of Applicable Experience - 0 or more years

Education:

High School Diploma or GED (Required)

Preferred Qualifications

Skills:

• Coursework around Statistics, Machine Learning
• Proficient in Phython
• 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:

• 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

Air conditioned office space

No travel required

Sedentary:
Exerting up to 10 pounds of force occasionally, and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves remaining stationary most of the time. Jobs are sedentary if movement is required only occasionally, and all other sedentary criteria are met.

Premier’s compensation philosophy is to ensure that compensation is reasonable, equitable, and competitive in order to attract and retain talented and highly skilled employees. Premier’s internal salary range for this role is $52,000 - $78,000. Final salary is dependent upon several market factors including, but not limited to, departmental budgets, internal equity, education, unique skills/experience, and geographic location.…