Data Scientist

About The Team
Tapestry is X's moonshot for the electric grid. We're transforming how the world makes, moves and uses electricity, using AI to reshape energy on a global scale.

We're looking for curious minds who want to be a part of this extraordinary moment in energy. You would be joining a multidisciplinary team from a wide variety of experiences and backgrounds—from AI and power systems experts to software engineers and energy entrepreneurs– working together to realize Tapestry's mission to make the grid visible so that everyone, everywhere can access reliable, abundant, and clean energy.

Tapestry is incubating at X, Alphabet's Moonshot Factory—the birthplace of breakthrough technologies like Waymo and Google Brain. At Tapestry, you'll have the chance to be part of a rapidly growing team that has the agility and impact of an early stage company with the resources and technical excellence of Alphabet. If developing multimodal AI solutions gets you up in the morning and load growth challenges keep you up at night, we'd love to meet you.

Learn more about our team and our mission here.

About The Role
At Tapestry, data drives all our decision-making. Data Scientists work all across the organization to help shape our business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Tapestry and our partners to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As a Data Scientist, you do more than just crunch the numbers.

How You'll Make 10x Impact

• Apply the latest in data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets
• Test and develop new techniques to pull forward critical insights and communicate them clearly to a diverse group of stakeholders
• Work with large datasets and solve difficult analysis problems, applying advanced analytical methods. Conduct end-to-end analyses, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale.
• Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analyses and forecasting and optimization methods across search quality, end-user behavioral modeling, and live experiments.

What You Should Have

• PhD or Master's in a quantitative field and 5+ years of tech or energy industry work experience as a statistician, quantitative analyst, or data scientist. Experience in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
• Experience in Machine Learning and Deep Learning
• Fluency in Python and SQL
• Experience with cloud hosting services and storage of both unstructured and structured data
• Experience with processing live data streams, including sampling, synchronization, and quantification
• Experience with electric power grid data, and physics based understanding of electrical networks and utility data
• Applied experience with machine learning on large datasets.
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
• Experience building compelling data visualization (such as dashboards)
• Ability to select the right statistical tools given a data analysis problem.
• Experience in managing a diverse team and work cross functions.
• Experience working with software engineering teams to build ML-powered systems ready for production
• Expertise in computer vision models, time series forecasting or LLMs'
• Experience building comprehensive model evaluation tooling and processes

It'd Be Great If You Had These

• Thrive on ambiguity, setting own goals and effectively delivering to them in a very fast-changing environment
• Ability to influence without authority, working with technical and cross-functional teams who do not report into this role to get things done
• Distinctive problem solving and analysis skills, combined with impeccable business judgment, leadership skills, and ability to communicate with a senior management team
• Attention to detail, project management, and organizational skills
• Fast learner with capacity to learn about a wide-spread of different technologies & industries
• Passion for the energy and climate space

The US base salary range for this full-time position is $166,000 - $259,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.