Data Scientist

Data Scientist

This job is no longer open
Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster, and 10x better. We apply AI to improve Call Center operations using our patented real-time coaching platform. We provide dynamic, live guidance to every agent based on the best practices of the top performers.

We’re growing fast! We spun out of the Stanford AI lab and are co-founded by Sebastian Thrun, who is the most successful German in Silicon Valley (co-founder and CEO of Google-X, Waymo, Udacity, Kitty Hawk, and more). Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, Sequoia Capital, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Adobe, and Dropbox and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few.

As a Data Scientist, you will be responsible for owning and systematizing the way Cresta shows value to our customers, working across all aspects our customer journey. If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and love data analysis, external presentations, and organizing internal and external project timelines, then we’d love to talk!

What You'll do:

    • Own and systematize a repeatable way to show value of Cresta for new and existing customers using standard statistical analysis methods (e.g. A/B tests) as well as product engagement and NLP techniques, all tied back to business outcomes
    • Design, create and maintain tooling (e.g., dashboards and visualizations) that can be used both internally and externally for communicating value and enabling others to answer data questions
    • Analyze large corpuses of text data using standard NLP practices: an example analysis might be "what are the key behaviors that top sales agents do that lead a sale?" and making that analysis repeatable to be used across different teams and customers

We're looking for someone who has:

    • Proficiency in SQL, data visualization, and data storytelling, as well as standard NLP analysis and workflows (e.g. Numpy, Pandas, NLTK, Jupyter, etc.)
    • Strong knowledge of statistics and experimental design
    • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
    • 3+ years experience working with and analyzing large data sets to solve customer problems (Bonus: part of that with language/text data)
    • The ability to communicate results clearly written, verbally, and via presentations to both internal and external executives and data-savvy teams
    • Bonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)

This job is no longer open
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