Staff Data Scientist, Product, Ads Account Management

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL R Analytics Strategy

Job Description

Minimum qualifications:

  • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  • 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R.
  • 7 years of experience developing and managing metrics or evaluating programs/products.
  • 5 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

  • Experience managing a team of Data Scientists.
  • Experience working with large and multiple datasets/data warehouses, and ability to pull from such data sets using relevant tools and coding.
  • Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions.
  • Ability to start and direct work in an unstructured environment and comfortable dealing with ambiguity.
  • Expertise in experimental design (e.g., A/B, multivariate, Bayesian methods) and incrementality analysis.

About The Job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Account Management provide a secure and scalable platform that makes ad buying easier for businesses of all sizes. We take a strong Customer First mindset and have a responsibility to help advertisers achieve their business goals.

Be a part of a team of analysts passionate about learning and using cutting edge data science and analytics techniques to shape our next generation Ads Account Management efforts. This role will manage a team of Data Scientists based out of Bengaluru.

In this role, you will be responsible for managing a team and delivering insights, building and measuring key metrics, creating and maintaining reporting to assess our account management efforts.

Responsibilities

  • Work closely with the Account Management leadership team, UX, Marketing, and Support to develop a deep understanding of the needs of our advertisers, developers, and other partners.
  • Set the direction, strategy, manage priorities and backlog of analytics projects, and coach a team of data scientists that support our account management efforts.
  • Perform deeply technical analyses with unstructured data (e.g., logs) to assess the success of our mobile efforts and new agency/large company account management products.
  • Investigate fundamental business and product strategy questions. Deliver deep insights on specific topics and areas to provoke new feature/product ideas, or new interventions to drive improved advertiser experiences.
  • Drive strategic analysis and reporting for business health metrics, focusing on retention, cost savings, and performance.


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 .

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