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Data Scientist

GoogleNew York, NY, USA

Minimum qualifications:

  • Master’s degree in Statistics, Computer Science, Mathematics or a related field and 5 years of experience in the job offered or in a Data Scientist-related occupation.
  • Position requires 5 years of experience in the following: Analytics for solving product or business problems; Data extraction, manipulation, and cleaning; Python or R for statistical analysis and algorithms; SQL for querying and manipulating large datasets; and Application of statistical models and methods.

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $174,000 - $253,000 + 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. Learn more about benefits at Google.

Position reports to the Google office & may allow for a hybrid schedule per Google policy.

Responsibilities

  • Collaborate with cross-functional teams to define critical business questions and translate them into tractable analytical frameworks
  • Gather, extract, and compile data from diverse sources using tools like SQL, R, or Python, ensuring data quality and integrity
  • Design, build, and evaluate statistical models to solve complex problems and provide data-driven insights into user behavior
  • Apply scientific and statistical methods to evaluate and enhance Google's products, impacting large-scale applications and user experiences
  • Communicate analytical findings and model results to multidisciplinary teams to inform product development and strategy; Utilize specialized knowledge of large-scale data infrastructure and storage solutions to develop and deploy models effectively.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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