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Lead a data science team driving Workspace revenue growth through deep-dive analyses, statistical modeling, and infrastructure development while mentoring talent and partnering with engineering and product leadership. Requires a bachelor's degree in a quantitative field plus 13 years of analytics and coding experience (Python, R, SQL) solving product problems, or 10 years with a master's degree, combined with 5 years in a technical people management role.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Act as a thought partner to engineering and product Management leads, providing data-driven perspectives on product direction and strategic opportunities. Mentor and develop data science talent.
  • Conduct deep-dive analyses to identify high-impact opportunities for growing Workspace revenue and user value. Define and align the data science team’s vision and priorities, balancing short-term execution with long-term strategic investments.
  • Communicate complex findings and recommendations clearly and effectively to technical and non-technical stakeholders, including executive leadership.
  • Own end-to-end project outcomes, covering problem definition, metrics development, data extraction and manipulation, visualization, and statistical modeling. Contribute to the development of analytics infrastructure and elevate the overall data foundation.
  • Navigate ambiguous or unprecedented challenges by framing strong hypotheses and delivering recommendations that combine analytical accuracy with product expertise.

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience and a Master's degree).
  • 5 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • 6 years of experience as a people manager within a technical leadership role.
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience and a Master's degree).
  • 5 years of experience as a people manager within a technical leadership role.
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  • Role Tech Lead Manager, Workspace Monetization Data Science
  • Experience 5-7 years
  • Education Bachelor Degree
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

136 more Data Scientist roles in New York

Job Overview

Approx. salary range

165K – 238K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 14 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree
Experience
5-7 years

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