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Google

Data Scientist, Tapestry

Google, Mountain View, CA, United States

Data Scientist, Tapestry

Software Engineering

Mountain View, CA (HQ)

About the team:

Tapestry is X’s moonshot for the electric grid. We are a team of software engineers, power systems experts, and clean energy enthusiasts who are eager to tackle climate change through our energy system. Tapestry's mission is to make the world’s electric grid visible so everyone can access clean, affordable, and reliable energy. We collaborate with partners worldwide to create AI-powered tools that help grid operators build and manage a carbon-free and secure electricity system.

Currently incubating at X, Alphabet’s innovation lab, we are building the team that will scale Tapestry for more global impact. We seek individuals passionate about revolutionizing the energy sector to join us at this critical growth stage. You’ll be part of a rapidly growing team that has the agility and impact of an early-stage company, while leveraging world-class technology created at Alphabet.

About the role:

At Tapestry, data drives all our decision-making. Data Scientists work across the organization to shape our business and technical strategies by processing, analyzing, and interpreting large data sets. Using analytical excellence and statistical methods, you will identify opportunities for Tapestry and our partners to operate more efficiently, from enhancing advertising efficacy to optimizing network infrastructure and studying user behavior.

How you’ll make 10X impact:

  1. Apply the latest data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets.
  2. Test and develop new techniques to extract critical insights and communicate them clearly to diverse stakeholders.
  3. Work with large datasets and solve complex analysis problems, conducting end-to-end analyses, including data gathering, processing, analysis, and presentations.
  4. Build and prototype analysis pipelines iteratively to provide insights at scale.
  5. Make business recommendations with effective presentations of findings through visual displays of quantitative information.
  6. Research and develop analyses and forecasting methods across ads quality, search quality, end-user behavioral modeling, and live experiments.

What you should have:

  1. PhD or Master’s in a quantitative field and 5+ years of tech industry experience as a statistician, bioinformatician, or data scientist, with experience in statistical data analysis.
  2. Experience in Machine Learning and Deep Learning.
  3. Fluency in Python and SQL.
  4. Experience with cloud hosting services and storage of both unstructured and structured data.
  5. Experience processing live data streams, including sampling and synchronization.
  6. Experience with electric power grid data and understanding of electrical networks and utility data.
  7. Applied experience with machine learning on large datasets.
  8. Experience articulating business questions and using mathematical techniques to derive answers from data.
  9. Experience building compelling data visualizations (e.g., dashboards).
  10. Ability to select appropriate statistical tools for data analysis problems.
  11. Experience managing diverse teams and working cross-functionally.
  12. Experience collaborating with software engineering teams to build ML-powered production systems.
  13. Expertise in computer vision models and time series forecasting.
  14. Experience building comprehensive model evaluation tools and processes.

It’d be great if you also had these:

  1. Ability to thrive on ambiguity and set personal goals in a fast-changing environment.
  2. Ability to influence without authority, working with technical and cross-functional teams.
  3. Distinctive problem-solving and analysis skills, combined with strong business judgment and leadership skills.
  4. Attention to detail, project management, and organizational skills.
  5. Fast learner with capacity to learn about various technologies and industries.
  6. Passion for the energy and climate space.

The US base salary range for this full-time position is $150,000 - $205,000 + bonus + equity + benefits. Individual pay is determined by work location and additional factors, including job-related skills, experience, and education. Your recruiter can share more about the specific salary range for your location during the hiring process.

At X, we celebrate and support differences for the benefit of our employees, products, and community. We are proud to be an equal opportunity workplace and an affirmative action employer, committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

If you have a disability or special need that requires accommodation, please contact us at: x-accommodation-request@x.team.

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