Master's degree in a quantitative field such as Computer Science, Engineering, Mathematics, Physics, Operations Research, Statistics, Economics, etc. or equivalent practical experience.
6 years of experience working with datasets, statistical modeling, and machine learning.
2 years of people management experience.
Experience with programming languages such as Python, R, SQL, etc.
PhD in a quantitative field or 8 years of related work experience.
3 years of proven team management experience.
Experience working with large datasets, developing data pipelines, and leveraging distributed computing.
Track record in technical roles collaborating across Business, Product Management and Engineering, and delivering data products to stakeholders.
Familiarity with sales and marketing strategy, and digital advertising.
Excellent written and verbal communication and interpersonal skills.
About the job
The Business Strategy & Operations organization provides business critical insights using analytics, ensures cross functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives.
As Manager of Data Science, you will lead the development, piloting and production of advanced Statistical and Machine Learning models. Your solutions will drive operational effectiveness at scale and enable impact measurement to shape the sales and marketing activities. You will be responsible for leading a team of data scientists that leverage data to drive business results. You will combine quantitative rigor and business acumen to shape and execute the modeling strategy that drives our programmatic business framework. You will work cross-functionally with teams across Google Customer Solutions, get exposure and visibility to senior executives, and be sought out as a trusted advisor by partner teams.
When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the "human face" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses.
Understand sales and marketing challenges, transform complex business problems into mathematical frameworks, and develop solutions with partner teams.
Provide guidance to the team in building predictive models, developing machine learning solutions, designing experiments, and measuring impact.
Evaluate opportunities, design data science roadmaps, prioritize projects, staff workstreams, improve processes, and measure impacts, and develop scalable data products.
Manage data science projects, track solution development, and develop launch plans. Lead and coach a team of data scientists and quantitative program managers.
Collaborate with and influence program managers, sales leads, marketing partners, and multiple Engineering teams. Work with executives across the business to advocate the power of analytics and articulate and support the solutions developed with the team.
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 this form.