Research Data Scientist, Risk Quantification
corporatefare_ Google place Sunnyvale, CA, USA; San Francisco, 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: Sunnyvale, CA, USA; San Francisco, CA, USA .
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, and statistical analysis.
Excellent communication skills, with an ability to translate complex analysis into clear insights.
About the job
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Our mission is to transform risk management within the company, making it data-driven and quantitative. We provide investigative expertise, objectivity, to solve some of the largest questions on how to address risks facing the company, enabling our partners to make optimal decisions for protecting Alphabet and its Users. The Risk Analytics and Data Science (RADS) team collaborates with risk and control owners across Google to quantify risk and drive data-based decisions.
In this role, you will be working closely with cross-functional stakeholders to understand the business decisions they need to make, the limits of the data available, and how to translate their needs into a modeling framework. You will lead these projects end-to-end, building strong relationships with your partners to be able to understand the problems they need to solve and the data they can provide. You will have the chance to autonomously, or with assistance from your team, delineate and define risk analysis issues. This includes converting available information into actionable data and developing and deploying models and risk metrics.
The US base salary range for this full-time position is $132,000-$189,000 + 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
Partner with stakeholders in Product Management, Engineering and Operation teams to understand their domain and needs for risk analysis.
Conduct end-to-end model design that includes data gathering and requirements specification, processing, analysis, ongoing deliverables.
Make recommendations based on data and business @context to advance risk and data understanding through each engagement.
Communicate results and impact of modeling choices to help stakeholders make optimal decisions.
Apply investigative techniques in novel ways to transform difficult data into useful information.
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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 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/) .
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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.
