Data Scientist, Research - multiple openings

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Advertising, Analysis Skills, Business Growth, Cloud Computing, Cloud Storage, Construction, Data Collection, Data Modeling, Data Quality, Data Science, Data Sets, Database Analysis, Economics, English Language, Equal Employment Opportunity (EEO), Experiment Design, Fonts, Genetics, Logistics Management, Machine Learning, Mathematical Modeling, Mathematics, Metrics, Network Operations Center, Operations Management, Operations Research, Physics, Problem Solving Skills, Product Management, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Retail, SQL (Structured Query Language), Scientific Research, Small Business, Software Development, Software Engineering, Statistics, Stock Purchase Plans, Systems Administration/Management, User Interface/Experience (UI/UX), YouTube
LOCATION
Mountain View, CA
POSTED
2 days ago

Data Scientist, Research - multiple openings - Google Careers

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Data Scientist, Research - multiple openings

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corporate_fareGoogleplaceMountain View, CA, USA

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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.

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. Learn more about benefits at Google.

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

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

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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