Head of Data Science, Google Cloud Marketing

New York, USA (Hybrid)

$240K/yr – $334K/yrSenior Level9+ years expFull time

Posted 4 months ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Drive Google Cloud Marketing data science at executive level to scale ML/AI, attribution, and automation across B2B funnels.

  • Must-have: 9 years analytics experience, Python/SQL, leading data science teams.
  • Standout: End-to-end ML deployment for marketing, large-scale data platforms (GCP) and CRM integration.
  • Standout: Strategic roadmap ownership with cross-functional impact on GTM and engineering.

Job Description

Responsibilities

  • Define and execute the long-term vision for data science within Cloud Marketing, building scalable ML/AI capabilities that optimize the B2B customer journey.
  • Oversee the development and deployment of robust AI-native data science capabilities and predictive models to accelerate marketing motions and personalize marketing outreach at scale. Deploy intelligent agents to automate experiences and drive engagement across various channels.
  • Lead the creation of sophisticated attribution models and incrementality experiments to quantify marketing impact, optimize media spend, and unlock insights into funnel performance.
  • Partner with GTM, sales operations, and engineering leadership to integrate data science capabilities into operational workflows (e.g., CRM systems), ensuring high adoption and alignment with business goals.
  • Build, mentor, and lead a high-performing team of data scientists, fostering a culture of technical excellence, innovation, and thorough statistical methodology.

Requirements

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • Experience managing and developing teams of data scientists.
  • Experience building and deploying machine learning models for business applications (e.g., lead scoring, attribution, forecasting).

Preferred

  • 11 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • 6 years of experience as a people manager within a technical leadership role.
  • Experience with cloud computing platforms (e.g., Google Cloud Platform, BigQuery, Vertex AI) and handling large-scale datasets.
  • Deep understanding of the B2B enterprise SaaS marketing and sales cycle, demand generation funnels, and marketing technology stacks (e.g., Salesforce, Marketo).

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Google logo

Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.Check out our career opportunities at goo.gle/3DLEokh

Mountain View, California, USA
325K employees (114,305 in marketing)

Traffic Signals

Monthly Visitors
83.9B
Monthly Google Ads Budget
$59.2M
Traffic Source Mix
Search
6.3%
Direct
87.6%
Referral
5.1%
Social
0.5%
Paid
0.2%

Headcount Trend

Current headcount: ~325.4K

Marketing Team

Marketing Team Size
100,288 (31% of company)
Median Career Experience
21 years
Median Tenure
7.1 years
Marketing Roles Posted (Last 30 Days)
25

Funding

Total Funding
$26.1M
Last Raise
$25M
Series Unknown, 27 years ago

Funding History

  • Jun 1999
    Series Unknown • $25M
  • Nov 1998
    Angel • $1M
  • Aug 1998
    Pre Seed • $100K

Recent News