Senior Research Data Scientist, Core Safety Data Science
corporatefare_ Google place San Francisco, CA, USA; Mountain View, CA, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA .
Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of experience with a PhD degree.
4 years of experience in data analysis or related fields as a statistician or data scientist.
Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL).
Experience with statistical methodologies.
Preferred qualifications:
PhD degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
Experience in training, validating or optimizing language models or LLM-based classifiers.
Experience analyzing multi-modal data (image, audio, or video).
Experience of GenAI safety and red-teaming.
About the job
User Protection is an organization dedicated to protecting Google's users from abuse, account compromise and other harms online. Our team works with the Content Safety (CS) and User Protection Platform and Services (UPS) which develops tools to protect users from abusive content at scale, often leveraging AI technology to do so. Our team provides data science capabilities to these two organizations, and works directly with product and engineering to evaluate, understand, and improve the quality of our protections. Organizationally, we are a part of a large data science team in Core, which provides ample opportunities for knowledge sharing, development, and learning from other data scientists working in adjacent domains.
CS and UPS equip Google products with tools to protect users from abuse and harm. As a Data Scientist working with CS and UPS, you'll be helping to evaluate, understand, and improve our abuse protections - which are generally built with and for AI tools. We work closely with cross-functional product teams on specific content safety classifiers, but also on generic strategies and tooling for understanding content safety classifiers.
Our team is designing safety data evaluations and safety mitigation evaluations, including LLM-as-judge, prompt injection, and Responsible AI testing. We also work with flagship GenAI product teams on understanding Google-wide GenAI safety postures in production traffic.The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Responsibilities
Solve ambiguous problems in the Generative Artificial Intelligence safety space, including agent-based safety.
Develop quantitative methodologies to curate training data and evaluation data from synthetic data and real-world production data for improving content safety mitigations. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Drive cross-functional alignment on measuring violation rates and unjustified refusals across multiple flagship Generative Artificial Intelligence product surfaces. Identify and clarify business or product questions.
Provide feedback and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Drive clarity and coherence in understanding safety at scale across Google.
Own the process of gathering, extracting, and compiling data across sources (e.g., SQL, R, Python). Format, re-structure, 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'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.
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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/OFCCPEEOPost.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.
