Google

Data Scientist, Research - multiple openings

place Mountain View, CA, USA

Found: Today

About the job

The US base salary range for this full-time position is $225,100 - $252,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.

Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy.

Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field, and 3 years of experience in the job offered or in a Data Scientist- related occupation.
  • Alternatively, will accept a PhD degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field.
  • Position requires: Using analytics to solve product or business problems; Coding in SQL; Coding in Python or R; Querying databases or statistical analysis; Analysis applications involving extracting insights and performing statistical analysis; One of the following: Experiment design, Mathematical optimization, Machine Learning, User experience measurement, or Measurement and attribution.

Responsibilities

  • Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge.
  • Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Gather, extract and compile data across sources via relevant tools (e.g., SQL, R, Python); and Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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