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Data Scientist (Biostatistics)

Company Name: The Climate Corporation
Location: San Francisco, CA
Date Posted: 15th Nov, 2017
Description:

Responsibilities

  • Lead research projects to create curated datasets, develop new disease models, and develop statistically robust experimental designs to validate models in the real-world
  • Apply spatio-temporal statistics, machine learning, mechanistic models, survival analysis, natural language processing, and other approaches to continuously improve our models
  • Collaborate closely with atmospheric scientists, plant pathologists, epidemiologists, physical scientists, engineers, product managers, and designers to design and build products that delight our customers
  • Mentor other scientists through direct collaboration on projects, code and paper review, and acting as a consultant as needed
  • Clearly communicate program direction and results to stakeholders in various parts of the organization, including science, engineering, business strategy, and product
     
Qualification:

Basic Qualifications:

  • M.S. +2 years of experience or Ph.D. in biostatistics, epidemiology, or another highly quantitative applied discipline
  • Applicant must demonstrate experience in applying statistical and/or machine learning techniques to real-world problems
  • Ability to write well-structured, easily maintainable, and well-documented code

Preferred Qualifications:

  • Experience with application of statistics to applied environmental or epidemiological problems
  • Experience working with big, messy datasets and deriving inferences from them
  • Desire to continuously improve on coding skills, including through code review with peers
  • Strong drive to learn new topics and skills, to develop innovative products for our customers, and build whatever is necessary along the way
  • Desire and ability to communicate and collaborate as a member of an agile, interdisciplinary team
  • Problem solving skills to develop quick yet sound solutions to resolve complex issues
  • Coding skills in Python, R, Scala, and/or TensorFlow