Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Chicago, IL, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- Experience in a software development or equivalent role, with a focus on building and deploying AI-first web applications
Preferred qualifications:
- 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.
- Experience developing and deploying applications on GCP such as Cloud Run, CloudSQL, Bigquery.
- Experience in front-end development using Angular and TypeScript.
- Experience with Python for back-end development and data manipulation.
- Ability to manage and co-ordinate multiple project assignments simultaneously in a deadline-driven environment, accepting ownership and accountability of the process and delivering on commitments.
About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
In this role, you will monitor Alphabet's risk environment, provide insights for effective risk management, and work with teams and leadership to strengthen controls that protect organizational value. You will advise business and engineering groups on risk areas, make valuable recommendations on controls, and influence decisions for product launches and system implementations. You will grow in a dynamic, technology-driven environment while focusing on key issues and critical details. The US base salary range for this full-time position is $118,000-$170,000 + 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 about
benefits at Google.
Responsibilities
- Design, build, and maintain full-stack web applications that deliver data science created capabilities to internal auditors and other stakeholders.
- Develop and implement solutions for process automation, AI enablement and comprehensive reporting for existing audit workflows.
- Partner with data scientists, strategy and operations analysts, and cross-functional teams including Compliance and Enterprise Risk Management to translate audit needs and models into user-friendly tools.
- Deploy applications on Google Cloud Platform (GCP).
- Write clean, scalable, and well-documented code across the entire stack, primarily using Angular and TypeScript for the front-end and Python for the back-end.
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
Google's EEO Policy and
EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our
Accommodations for Applicants form.