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. Cresta is focussed on using AI to help the workforce, not replace them. Cresta uses our patented Expertise AI to uncover expert insights form every conversation and put those insights into action with real-time coaching during customer conversations.
We’re growing fast! Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, 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, 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. We have huge ambitions and are looking for stellar candidates who have an entrepreneurial mindset and are excited to use cutting-edge AI to solve real-world business problems.
As a data scientist, you will work at the intersection of product, engineering, sales, and customer success to analyze conversational and statistical data all tied back to solving customer problems You'll have an impact on acquiring new customers, helping our current customers solve critical business questions, and generally influence the product direction and thinking based on data derived insights.
If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and able to handle data analysis, external presentations, and organize internal and external project timelines, then you might be a great fit.
We're looking for someone who:Proficiency in SQL and data visualization tools (e.g. Tableau, Looker, etc.) as well as standard NLP analysis tooling (e.g. Numpy, Pandas, Jupyter, etc.)Strong knowledge of statistics and experimental design3+ years experience working with and analyzing large data sets to solve problems (Bonus: part of that with language/text data)The ability to communicate results clearly written, verbally, and via presentationsBonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)