Google office in San Francisco - Hiring Data Scientist III in Product, ODS

Exciting: Google Data Scientist III – Product, ODS in San Francisco & Sunnyvale 2025

🌍 Join Google as a Data Scientist III, Product, ODS in San Francisco or Sunnyvale, CA

🚀 Google is Hiring: Data Scientist III – Shape the Future of AI/ML Sustainability

Are you ready to work at the forefront of AI, sustainability, and big data? Company is hiring a Data Scientist III, Product, ODS to join its world-class team. This is your opportunity to play a pivotal role in one of the most impactful companies on the planet—driving data-driven sustainability and innovation in AI/ML technologies. Choose your preferred location between San Francisco, CA and Sunnyvale, CA and make a difference with your skills.

📍 Location Options

You will have the opportunity to select your preferred location from:

  • San Francisco, CA, USA
  • Sunnyvale, CA, USA

Both locations are hubs of cutting-edge technology and innovation, nestled in the heart of Silicon Valley.

📘 Job Overview

💼 Job Title:

Data Scientist III, Product, ODS

🏢 Company:

Google

💲 Salary:

$132,000 – $189,000 per year (plus bonus, equity, and benefits)

💡 Note: Final compensation depends on your skills, experience, and preferred location.

🎯 Role Summary

As a Data Scientist III, you will take the lead in data modeling and forecasting for AI/ML software sustainability. You’ll be tasked with:

  • Estimating carbon emissions from AI/ML software.
  • Identifying factors like model complexity, training data volume, and deployment patterns.
  • Developing KPIs and metrics for emissions reduction projects.
  • Supporting teams with data insights for strategic product decisions.

This role blends analytics, environmental science, and product strategy—all while contributing to Google’s sustainability mission.

📌 Key Responsibilities

🔍 Data Analysis & Modeling

  • Leverage tools such as SQL, Python, and R to extract and interpret data.
  • Use custom and existing infrastructure for data modeling.
  • Build robust models to forecast carbon emissions related to AI/ML systems.

📊 Business Impact & Reporting

  • Develop and report Key Performance Indicators (KPIs).
  • Present insights to cross-functional teams and leadership.
  • Translate data into meaningful business recommendations.

🧠 Product Development Support

  • Provide data-backed recommendations to Product and Engineering teams.
  • Prototype and iterate on business cases and analytical tools.
  • Evaluate opportunities for emission reduction in AI/ML operations.

✅ Minimum Qualifications

To be eligible for this role, you should have:

  • A Bachelor’s degree in a quantitative field like:
    • Statistics
    • Mathematics
    • Data Science
    • Engineering
    • Physics
    • Economics
  • 5+ years of experience in data analysis and programming using:
    • Python
    • R
    • SQL
      (OR 2 years of experience + a Master’s degree)
  • Practical experience working with AI/ML systems

🌟 Preferred Qualifications

  • A Master’s degree in any of the aforementioned fields.
  • Experience with:
    • Computer hardware
    • Sustainability projects or tools
  • Familiarity with carbon accounting or environmental impact forecasting

🌱 Why This Role Matters

With increasing awareness about AI’s environmental footprint, Google is actively pursuing solutions to reduce carbon emissions from machine learning models. In this role, you’ll:

  • Influence global-scale AI/ML development practices.
  • Contribute to a more sustainable digital future.
  • Work with a team that’s as passionate about data as they are about impact.

🧩 How You’ll Fit In

As a Data Scientist at Google:

  • You’ll collaborate with world-class engineers and product teams.
  • You’ll turn raw data into actionable strategy.
  • You’ll take ownership and initiative, driving sustainability from the inside out.

This is a high-impact role ideal for data experts who want to apply their technical skills to make planet-positive decisions.

🧠 Tools You’ll Use

  • SQL – for querying structured databases
  • Python – for statistical modeling and automation
  • R – for statistical analysis and visualization
  • Google’s proprietary tools for big data and ML ops
  • Cloud computing platforms, potentially including Google Cloud Platform (GCP)

🏆 Benefits of Working at Google

Google offers one of the most comprehensive benefits packages in the tech industry. Some highlights include:

  • Equity and bonus opportunities
  • Medical, dental, and vision insurance
  • Generous parental leave
  • Flexible work hours & hybrid options
  • Professional development and certification support
  • Employee Resource Groups for diversity, equity & inclusion
  • Free meals, wellness resources, and more

📌 Learn more about benefits at Google Careers Benefits

📑 About Google

Google isn’t just a search engine—it’s a company built on innovation, inclusivity, and engineering excellence. With products like Google Ads, YouTube, Android, and Cloud, Google is shaping the digital world.

Mission: To organize the world’s information and make it universally accessible and useful.
Culture: Innovation-driven, user-first, and team-oriented.
Values: Sustainability, diversity, and equity.

🔒 Equal Opportunity Employer

Google is an equal opportunity employer. We welcome applicants from all backgrounds and ensure a fair hiring process regardless of:

  • Race
  • Color
  • Gender Identity
  • Religion
  • Age
  • Disability
  • National origin
  • Veteran status
  • Sexual orientation
  • Family or parental status

📄 Learn more about our EEO Policy and Belonging at Google

🧾 Legal & Privacy Notes

All applicant data is processed per the Google Applicant Privacy Policy. Google also complies with applicable local, state, and federal legal obligations.

🧩 Application Process

Ready to apply?
When you apply, you’ll have a chance to select your preferred work location (San Francisco or Sunnyvale). Once your application is reviewed:

  1. A recruiter will reach out with more details about the salary for your location.
  2. You may be asked to complete a coding or data analysis challenge.
  3. Interviews will be scheduled with team members and hiring managers.

📎 Note: Google does not accept applications through recruitment agencies. Unsolicited resumes will not be considered.

📣 Call to Action

✨ Are You Ready to Make an Impact?

Apply now for the Data Scientist III, Product, ODS role at Google and bring your expertise to a role that truly matters. Whether you’re passionate about AI/ML, sustainability, or data science—this is the role for changemakers like you.

🔗 Apply Now on Google Careers →

 

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