Data Scientist (Tapestry)

X • Mountain View, CA

151d • $166,000 - $259,000

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• Base salary range of $166,000 - $259,000
• Bonus
• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 251-500 employees