Data Scientist

Premier Inc.

14d•$72,000 - $120,000•Remote

About The Position

This position will have responsibility for conceptualizing, designing, implementing, and validating new machine learning algorithms to enhance our Clinical Decision Support Platform. This position will be a member of a multi-disciplinary team comprised of engineers and clinicians. Apply knowledge of statistics, programming, data modeling, and other data science 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 Sr./Principal Data Scientist and Product Directors/Senior Directors. This individual will be expected to execute complex analytic protocols under the guidance of these senior team leaders and be able and willing to gain proficiency with new methodologies over time. Deploy knowledge of healthcare datasets, including electronic health records, administrative billing, post-adjudicated claims, purchase order, and invoice datasets.

Requirements

2 or more years of applicable experience
Bachelors (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

Apply machine learning to real world problems
Successful track record of delivering results in a complex cross-functional project
Knowledge of SQL, R and/or Python and associated scientific, data, and machine learning libraries
Experience working in one or more cloud computing environments
Software Development experience in agile environment
Workflow tools such as Luigi or Airflow
Health care research experience, with large patient data sets
Experience with manipulating and analyzing large scale datasets
Experience applying the data science lifecycle to gain insights and perform causal inference
Experience working in remote teams
Master’s degree in an empirical field such as statistics, bioinformatics, mathematics, public health, data science, economics, engineering, physics, etc.

Responsibilities

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
Produce innovative solutions driven by exploratory data analysis from complex and highly dimensional datasets
Work with developers and product engineers to translate prototypes into new products, services, and features, and provide guidelines for large-scale implementation
Participate in data exploration and conceptual design for strategic initiatives
Apply knowledge of statistics, machine learning, artificial intelligence, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
Generate and test hypotheses and analyze and interpret the results of product experiments
Analyze business requirements, procedures, and problems, design and develop solutions for production
Develop features and stories based on requirements to feed product backlogs
Provide data science practice advice, demonstrations and presentations to colleagues, clients, and management. Conduct research, as needed
Provide mentoring and training
Develop project estimates and work plans
Identifying, developing, reviewing, and evolving best practices, standards, operating procedures, and processes
Participating in the review of team member deliverables