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X, The Moonshot Factory · 2 days ago

Data Scientist (Tapestry)

Mountain View, CA

Full-time

Onsite

Senior Level

$166K/yr - $244K/yr

5+ years exp

X, The Moonshot Factory is focused on revolutionizing the electric grid through innovative AI-powered tools. The Data Scientist will play a crucial role in shaping business and technical strategies by analyzing large datasets and providing actionable insights to enhance operational efficiency and decision-making.

AerospaceAugmented RealityAutomotiveRobotics

Responsibilities

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

Qualification

PythonSQLStatistical analysisMachine learningData visualizationElectric power grid dataCloud hosting servicesData processingProject managementProblem solvingAttention to detailCommunication skills

Required

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

Fluency in Python and SQL

Experience with electric power grid data, and physics based understanding of electrical networks and utility data

Experience articulating business questions and using mathematical techniques to arrive at an answer using available data

Experience building compelling data visualization, design and implement quantitative evaluation processes and metrics to measure the performance of a system

Experience in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods

Ability to select the right statistical tools given a data analysis problem

Experience applied experience with machine learning on large datasets, deep learning, computer vision models, time series forecasting or LLMs

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 working with software engineering and cross functional teams to build ML-powered systems ready for production

Experience in building comprehensive model evaluation tooling and processes

Preferred

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