Transformation Specialist, Tapestry Energy
3 days ago
Energy Data Transformation Role at X
Tapestry is an innovative project at X, Alphabet's innovation lab, aiming to revolutionize the electric grid by making it visible and accessible to everyone. We collaborate with global partners to develop AI-powered tools for grid operators to create a carbon-free and secure electricity system.
This is an exciting opportunity to join a rapidly growing team that has the agility and impact of an early-stage company while leveraging world-class technology created at Alphabet.
The Data Scientist role at Tapestry focuses on driving business decisions through data-driven insights. You will work across the organization to shape strategies by processing, analyzing, and interpreting large data sets. Using analytical excellence and statistical methods, you will identify opportunities for Tapestry and its partners to operate more efficiently.
You will apply the latest data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets. Additionally, you will test and develop new techniques to extract critical insights and communicate them clearly to diverse stakeholders.
The ideal candidate has a PhD or Master's in a quantitative field and 5+ years of tech industry experience as a statistician, bioinformatician, or data scientist. They should have experience in Machine Learning and Deep Learning, fluency in Python and SQL, and expertise in cloud hosting services and storage of both unstructured and structured data.
The salary range for this full-time position is $150,000 - $205,000 + bonus + equity + benefits. The exact salary is determined by work location and additional factors, including job-related skills, experience, and education.
X celebrates and supports differences for the benefit of 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.
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