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Data Scientist

Industry: Pharma
Remote
Company size: 251-10K
Full-time/Part-time

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Job description

An NYSE-listed pharmaceutical giant that has been influencing the industry with their revolutionary products for over a century, is looking for a Data Scientist. The selected candidate will be in charge of running models, manipulating data, and making minor code modifications. The company’s range of pharmaceutical products and services has constantly evolved to meet the changing needs of the global healthcare industry. This position requires extensive overlap with the EST time zone. 


Job Responsibilities:

  • Clearly communicate with various stakeholders the outcomes of highly technical research
  • Create, evaluate, and maintain data architecture and pipelines that follow technical guidelines and organizational objectives
  • Be involved in the assessment of new tools and procedures to boost team productivity
  • Influence Supply Chain Leaders while working with cross-functional teams to drive, deliver insights, and make a difference using data insights 

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 4+ years of relevant experience as a data scientist
  • Extensive experience working with Data Science, Python, and Excel
  • Some knowledge of Inventory is desirable
  • Nice to have prior experience or a background in Supply Chain
  • Excellent English communication skills, both spoken and written

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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