Product Data Scientist, engEDU

Benefits

Parental leave

18 weeks From the posting source

Non-birth-parent leave

18 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

$138K-$198K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

50% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Product Data Scientist, engEDU San Jose, CA, USA; +1 more Engineering Education (engEDU) is Google's engineering education organization, dedicated to upskilling Googlers and equipping them to be highly productive builders. AI is reshaping developer roles faster than our training keeps pace. Systems thinking, judgement, agent architecture and management are becoming core skills for every builder. To keep with this pace, we are moving more towards an in-product, integrated technical training model to help Googlers become AI-native builders. Our team is expanding our engineering footprint to develop agentic systems and personalized coaching agents directly into the tools engineers already use, like Jetski (Antigravity), Cider, Critique, and Buganizer. We don't want to saturate these interfaces with noisy nudges common in traditional in-product learning. Rather, we want to engage engineers exactly when it is most relevant to avoid disrupting their work. Shaping the real dimensions and interpreting what the data actually tells us is the massive opportunity we have for a Data Scientist. We are blazing a trail, and would love to have you at the forefront of designing education for the era of AI and at the scale of Google. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target +

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