November 14, 2019

Software Engineer (Data Science)

Full-Time · San Francisco, California · Software · Apply Now

The Data team at Cresta perform research and analysis that allows us to make optimal product decisions. As a data-driven company, 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. 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 clear expectations, as well as the freedom to pursue projects they find interesting.

About Us

Cresta is an early-stage enterprise AI startup with the mission of enabling everyone to start as an expert on the first day on the job. Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, and backed by Ben Horowitz, our team is composed of Stanford PhDs and top engineers and leaders from Google, Facebook, and other tech companies. We are in production at multiple Fortune 500 companies and are training on millions of dialog conversations.

What We Look For:

  • M.S., Ph.D. in a scientific or quantitative field
  • 4+ years work experience
  • 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
  • Fantastic statistical intuition
  • Knowledge of various analytical approaches

  • What You'll Do:

  • Interpret and identify key insights from existing data
  • Build models to find insights from Cresta's current customer data to improve communication, renewal, retention and develop methods for prospecting customers at scale
  • Conduct statistical analysis in support of our research goals
  • Translate data-driven learnings into actionable insights for the rest of the company
  • Develop deep cross-functional relationships with product, operations, and sales managers to ensure alignment between research and strategy
  • Apply quantitative solutions related to Cresta's unique and challenging problems

  • Apply Now