Senior Data Science Manager, Finance & AI Strategy

Google LLC

New York (NY)

On-site

USD 240,000 - 333,000

Full time

14 days+

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Job summary

Google LLC in Mountain View, CA / New York, NY seeks a Senior Manager, Business Data Scientist to lead a high-impact data science team within the Search+ area. You will partner with Finance, Product Data Science, and GPS strategists to translate complex analyses into actionable recommendations for senior leadership.

You will mentor highly technical teams, drive AI-enabled data infrastructure, and shape strategic outcomes that influence Ads business decisions at the executive level.

Qualifications

  • Master's degree in a quantitative discipline or equivalent practical experience.
  • 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL).
  • 6 years of experience as a people manager in a technical leadership role.
  • Experience managing data sets to solve product or business problems.
  • Experience with coding, querying databases, or statistical analysis.

Responsibilities

  • Lead a group of experienced data scientists guiding decision making in the Search+ space.
  • Build strong relationships with Search+ team leadership and represent a Finance POV in decision forums.
  • Help the team solve complex problems through technical, statistical and business acumen.
  • Nurture strategic partnerships with Econ, Product Data Science, and GPS strategists.

Skills

Analytics leadership
Business problem solving
Stakeholder influence

Education

Master's degree

Tools

Python
SQL
R

Job description

Google LLC in Mountain View, CA / New York, NY seeks a Senior Manager, Business Data Scientist to lead a high-impact data science team within the Search+ area. You will partner with Finance, Product Data Science, and GPS strategists to translate complex analyses into actionable recommendations for senior leadership.

You will mentor highly technical teams, drive AI-enabled data infrastructure, and shape strategic outcomes that influence Ads business decisions at the executive level.

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