Senior Business Data Science Manager, YouTube Marketing

San Bruno, CA (On-site)

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

Posted 4 months ago

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Job Summary

Lead a data science team delivering models, experiments, and data pipelines to optimize YouTube shopping and creator programs.

  • Own team strategy and remove blockers while partnering with marketing and product.
  • Must-have: 5+ years as a technical leader and 9+ years analytics experience with SQL and Python.
  • Standout: Experience with causal inference and A/B testing to drive ROI.

Job Description

Responsibilities

  • Lead a team of business data scientists and analysts in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business.
  • Embed with marketing leadership on YouTube shopping and YouTube creators to understand their high level goals and translate those into data science and investigative priorities.
  • Design experiments and use causal inference to measure effectiveness of models, tools, and programs.
  • Drive internal visibility and opportunities for the team, define team strategy in partnership with leadership and stakeholders, and remove technical and organizational blockers.
  • Build a team with a collaborative and growing growth culture. Develop team to reach their career goals through coaching and development opportunities.

Requirements

  • - Master's degree in a quantitative discipline such as Statistics, Engineering, Computer 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 performing statistical analysis.
  • - 5 years of experience as a people manager within a technical leadership role.
  • - Experience in causal inference, A/B testing, statistical modeling, or machine learning.
  • - Experience in SQL and Python programming, leveraging ML or statistical libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas).

Preferred

  • Experience with causal inference or bayesian statistics.

Benefits

  • bonus + equity + benefits
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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

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