Business Data Scientist, Internal Audit

Share Business Data Scientist, Internal Audit

Google place Sunnyvale, CA, USA ;
Chicago, IL, USA

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Chicago, IL, USA
.

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• Experience applying GenAI to data analysis problems for data generation, enrichment, or processing.

• 2 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

Internal Audit‘s mission is to focus on reducing risk across Alphabet. We do this by monitoring the risk environment across Alphabet and providing insights to enable effective risk management. We work closely with teams and leadership to achieve a strong control environment that enhances and protects organizational value. We serve as one of the company’s various lines of defense for staffing and developing our team to be control experts who deliver objective and reliable results.

As a member of the team, you will advise the business and engineering groups to identify areas of risk and make valuable recommendations on controls. You will have the opportunity to influence change and decisions for business initiatives including product launches and system implementations. You enjoy working in a dynamic environment, are passionate about technology and are able to focus on key issues and the details that come with it.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $116000 - $165000 (USD) + 15% bonus target + equity + benefits

• Partner with business, technology and privacy and security auditors, working closely with cross‑functional teams including engineering, product management, operations and finance to identify and quantify risk, as well as to evaluate controls at scale.
• Analyze product, infrastructure and financial data for a variety of patterns including abuse, fraud, brand risk, control breakdown and regulatory non‑compliance; succinctly calibrate and convey findings from your work to varied stakeholders.
• Develop repeatable methods to ensure consistent results. Develop infrastructure to support analyses and automate audit procedures.
• Influence teams towards data‑informed decision‑making and analytical thinking.

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 .

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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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.