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
Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.