Data Scientist, Tapestry

Data Scientist, Tapestry Software Engineering Mountain View, CA (HQ) About the team: Tapestry is X’s moonshot for the electric grid ( https://x.company/blog/posts/why-the-electric-grid-needs-a-moonshot/ ). We are a team of software engineers, power systems experts, and clean energy enthusiasts dedicated to tackling climate change through innovative energy systems. Tapestry aims to make the world’s electric grid visible, enabling access to clean, affordable, and reliable energy worldwide. We collaborate with global partners to develop AI-powered tools that help build and manage a carbon-free, secure electricity system. Currently incubating at X, Alphabet’s innovation lab, we are expanding our team to scale Tapestry’s impact globally. We seek passionate individuals eager to revolutionize the energy sector, offering the agility of a startup combined with world-class technology from Alphabet. Learn more about

Tapestry . About the role: At Tapestry, data informs all our decisions. Data Scientists collaborate across the organization to shape business and technical strategies by processing, analyzing, and interpreting large datasets. Using advanced analytical and statistical methods, you will identify opportunities for efficiency improvements, enhance advertising effectiveness, optimize network infrastructure, and analyze user behavior. Your role extends beyond number crunching to strategic insights and impactful solutions. How you’ll make a 10X impact: Apply cutting-edge data science techniques to build and deploy data pipelines and conduct exploratory data analysis on large-scale datasets. Develop and test new analytical methods to extract critical insights and communicate findings clearly to diverse stakeholders. Handle large datasets, solve complex analysis problems, and conduct end-to-end analyses from data collection to presentation. Build and prototype analysis pipelines to deliver scalable insights. Present findings effectively through visualizations and reports tailored to various audiences. Research and develop forecasting and optimization methods across various domains, including ad quality, search quality, and behavioral modeling. What you should have: PhD or Master’s in a quantitative field with 5+ years of industry experience as a statistician, bioinformatician, or data scientist, with expertise in statistical analysis (linear models, multivariate analysis, stochastic models, sampling). Experience in Machine Learning and Deep Learning. Proficiency in Python and SQL. Experience with cloud services and storage of structured and unstructured data. Experience processing live data streams, including sampling and synchronization. Knowledge of electric power grid data and physics-based understanding of electrical networks. Applied experience with machine learning on large datasets. Ability to translate business questions into mathematical analyses. Skill in creating compelling data visualizations (dashboards). Ability to select appropriate statistical tools for analysis problems. Experience managing diverse teams and working cross-functionally. Experience collaborating with software engineering teams to deploy ML systems. Expertise in computer vision models and time series forecasting. Experience developing model evaluation tools and processes. Preferred additional skills: Comfort with ambiguity, goal-setting, and delivering in fast-changing environments. Ability to influence cross-functional teams without direct authority. Strong problem-solving, business judgment, leadership, and communication skills. Attention to detail, organizational skills, and project management. Quick learner with interest in diverse technologies and industries. Passion for energy and climate initiatives. The US base salary range for this full-time position is $150,000 - $205,000 + bonus + equity + benefits. Salary is determined by location, skills, experience, and education. Additional compensation details will be shared during hiring. Equal Opportunity Statement: At X, we celebrate diversity and are committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, disability, gender identity, veteran status, or criminal history. We support applicants requiring accommodations; contact

x-accommodation-request@x.team .

#J-18808-Ljbffr