Manager, Data Science, Google Cloud Business Acceleration

This role may also be located in our Playa Vista, CA campus.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA.Minimum qualifications:

• Experience in data foundations: SQL, data manipulation procedural language, statistics, experimentation, and modeling.
• Experience in people management.
• 6 years of experience in statistical modeling, data mining, and data analysis.
• Bachelor's degree or equivalent practical experience.

Preferred qualifications:

• Experience working with and developing for non-technical users (defining requirements, explaining technical concepts to non-technical business users, etc.).
• Experience with ETL, data mining, and processing with multiple datasets using distributed computing.
• Excellent verbal and written communication skills.
• Ability to communicate complex findings in a structured and clear manner to a non-technical audience.
• Master's degree or PhD in Statistics, Computer Science, Operations Research, Economics, or similar quantitative discipline.

About The Job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
Our team is focused on accelerating the business growth of Google Cloud using quantitative programs. These programs combine data science, workflow solutions, and sales strategy to drive incremental uplift across all sales teams. Our team is comprised of data science and program management functions and partners closely with Engineering and Sales teams. As the Manager of the Data Science team, you'll lead the design, development, and implementation of predictive models that are productionized in our sales workflows. You will also lead a team of Data Scientists, who leverage data to drive business results. Combining your quantitative accuracy and business acumen, you will shape and execute the modeling strategy that drives our programmatic sales framework. Through working cross-functionally with teams across Google Cloud, you will get exposure and visibility to executives and be sought out as a trusted advisor by partner teams.
Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life.
The US base salary range for this full-time position is $172,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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

• Lead a team of data scientists. Act as a thought leader by translating business needs into technical requirements and oversee the implementation of solutions.
• Research new ways of modeling data proactively to unlock actionable insights or improve business processes.
• Partner with non-technical stakeholders to understand their analytical needs, help frame the problem by asking the right questions, and prioritize requirements. Communicate results of complex technical work.
• Design an appropriate Machine Learning modeling architecture to support Google Cloud business needs.
• Contribute to the development of the analytical frameworks, tools, skills, and culture for the team and wider organization.

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 .