Staff Data Scientist, Product, Ads Account Management

Google is a global technology company providing innovative products and services to billions of users worldwide.
Data
Staff Software Engineer
Contact Company
7+ years of experience
AI · Enterprise SaaS · Advertising

Description For Staff Data Scientist, Product, Ads Account Management

Google is seeking a Staff Data Scientist to join their Ads Account Management team in Bengaluru. This role combines technical leadership with people management, requiring 7+ years of experience in data analysis and 5+ years in technical leadership. The position involves leading a team of Data Scientists while working closely with Account Management leadership, UX, Marketing, and Support teams.

The ideal candidate will have a strong foundation in statistical analysis, experimental design, and data mining, with expertise in SQL and Python. They will be responsible for delivering insights, building metrics, and maintaining reporting systems to assess account management efforts. The role requires both technical depth in handling large datasets and strategic thinking to drive business decisions.

This is an excellent opportunity for an experienced Data Scientist looking to impact Google's advertising ecosystem while leading and developing a team. The position offers the chance to work with Google's vast data resources and influence product strategy through data-driven insights. The role combines technical expertise with business acumen, requiring someone who can translate complex analyses into actionable recommendations.

Working at Google means joining a company that serves billions of users worldwide, with a strong commitment to diversity, equality, and inclusion. The role offers the opportunity to work on challenging problems at scale, with access to cutting-edge technology and data science tools. The position is based in Bengaluru, where you'll be part of a dynamic team passionate about using data science to improve advertiser experiences and drive business growth.

The ideal candidate will thrive in an unstructured environment, be comfortable with ambiguity, and have a proven track record of managing technical teams and delivering impactful analyses. This role is perfect for someone who combines strong technical skills with leadership abilities and wants to shape the future of Google's advertising platform.

Last updated 17 hours ago

Responsibilities For Staff Data Scientist, Product, Ads Account Management

  • 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
  • Perform deeply technical analyses with unstructured data to assess the success of mobile efforts and account management products
  • Investigate fundamental business and product strategy questions
  • Drive strategic analysis and reporting for business health metrics, focusing on retention, cost savings, and performance

Requirements For Staff Data Scientist, Product, Ads Account Management

Python
  • 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
  • Experience managing a team of Data Scientists
  • Experience working with large and multiple datasets/data warehouses
  • Expertise in experimental design (A/B, multivariate, Bayesian methods) and incrementality analysis
  • Strong business acumen and experience with utilizing unstructured data
  • Ability to start and direct work in an unstructured environment and comfortable dealing with ambiguity

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