
Data Scientist
San Bruno, CA · HybridFull-time$207–253K/yrSeen 1w agoSeen in employer's feed 4 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near San Bruno, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
The Data Scientist role at YouTube focuses on translating business goals into analytical frameworks, extracting and validating data, and designing mathematical models. The position collaborates with cross-functional stakeholders and supports other data scientists in a Tech Lead capacity. It requires a master's degree and five years of relevant experience, or a PhD and three years, along with specified quantitative, research, and leadership experience.
Skills & qualifications
Skills
Qualifications
Full job description
Data Scientist
Share Data Scientist
corporate_fare Google place San Bruno, CA, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Data Scientist
Minimum qualifications:
-
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field and 5 years of experience in the job offered or in a Data Scientist-related occupation.
-
Alternatively, will accept a PhD in Statistics, 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.
-
Position requires: 3 years of experience in collecting and analyzing data using statistical methods or quantitative analysis to draw inferences, identify trends, and solve data-related problems; 3 years of experience in analyzing information and data to draw conclusions, generate solutions, evaluate outcomes, and develop actionable plans; 3 years of experience in applying a research skillset to track scientific developments and technological trends aligned with domain expertise; 3 years of experience in applying advanced, domain-specific quantitative and technical knowledge (Econometrics, Operations Research, Advanced Design of Experiments, or Bayesian Statistics) to complete work and support organizational priorities; and 1 year of experience in technical Leadership or Management of Research or Data Science teams.
About the job
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
The US base salary range for this full-time position is $206,600 - $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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Position reports to the Google office & may allow for a hybrid schedule per Google policy.
Responsibilities
-
Collaborate with cross-functional stakeholders to define business priorities and clarify product questions.
-
Translate complex business goals into tractable analytical frameworks and evaluation metrics.
-
Extract raw data across multiple sources using SQL and Python, and restructure and validate datasets to ensure high data integrity for analysis.
-
Utilize specialized knowledge to navigate custom data infrastructure and existing data models.
-
Design and evaluate novel mathematical models to solve defined problems with limited precedent. Mentor and support other data scientists in a Tech Lead capacity.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Data Scientist, GrowthReplit · Foster City, CA (Hybrid) · $250–327K/yrPosted 1w agoPosted 1w ago
Data Scientist, Adobe.comAdobe · San Francisco, CA · $109–201K/yrPosted 4w agoPosted 4w ago
Data Scientist, PaymentsBlock · CA · $112–168K/yrPosted 4w agoPosted 4w ago
Data Science LeadOpusClip · Mountain View, CA · $230–300K/yrPosted 2w agoPosted 2w agoSenior Data ScientistKikoff · San Francisco, CA · $226–254K/yrPosted 3w agoPosted 3w ago
You've read the whole posting — now see how you match it.