Data Scientist - Cresta - Palo Alto

Data Scientists at Cresta perform research and analysis that allows us to make optimal product decisions.


Cresta is a data-driven company, so our data scientists are key to the product’s continuous improvement by uncovering key insights from our data. Our data scientists work closely with product managers and engineers to implement appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities for Cresta. As a data scientist, you will work on modeling our long-term growth, improving the relevance and personalization of the product, and exploratory factor analysis of agent behavior.


You will join a collaborative but highly autonomous working environment in which each member has a defined role, with the ability to work on projects and features that they identify as interesting. 


Company Description


Cresta is an early-stage enterprise AI startup with the mission of ending repetitive work, and transforming all sales agents into experts. We enable large human workforces to operate like autonomous, intelligent fleets - when one human makes a mistake, everyone learns from it, and when one human achieves success, everyone improves.


Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, our team is composed of Stanford PhDs and top engineers and leaders from Google, Facebook, and other tech companies. Even as an early-stage startup, multiple Fortune 500 companies see the value of Cresta to enhance their workforce productivity with AI.


    • B.S., M.S., Ph.D. in a scientific or quantitative field
    • 2+ years work experience
    • Excellent statistical intuition and knowledge of analytical approaches  
    • Superb communication skills and ability to explain your analysis clearly to engineers and product managers
    • Proficiency in SQL
    • Familiarity with Python or similar scripting language
    • Passion for learning and always improving yourself and the team around you
First application date:
Employment type: 18 months at least


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