Cresta
San Francisco, CA
51-200 employees
Radically improve team performance with live prompts on the best thing to say during every customer interaction.
Prior Listings
- Forward Deployed Data Scientist
- Data Scientist
- Machine Learning Engineer in Customer Engineering
- Data Scientist
- Customer Success Analyst
- Machine Learning Engineer (Chat Agent)
- Software Engineer (ML/NLP)
- Senior Machine Learning Engineer (Chat Agent)
- Data Scientist
- Senior Machine Learning Engineer (LLM)
- Senior Machine Learning Engineer (Chat Agent)
- Senior Machine Learning Engineer (RAG)
- Customer Success Analyst
Forward Deployed Data Scientist
Forward Deployed Data Scientist
This job is no longer open
Forward Deployed Data Scientist
Cresta is on a mission to make office workers 100x more effective (10x better and 10x faster) through the help of Artificial Intelligence. Fortune 500 companies use Cresta to transform their contact centers into teams of experts resulting in top-level revenue, efficiency, and customer satisfaction gains. Cresta is backed by top investors such as Greylock and Andreessen Horowitz, is chaired by Sebastian Thrun, and was originally spun out of the Stanford Artificial Intelligence lab.
As a data scientist, you will work at the intersection of product, engineering, sales, and customer success to analyze conversational and statistical data. 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.
What you'll do:
- Analyze large corpuses of text data using standard NLP practices: an example analysis might be "what are the key phrases that sales agents use before making a sale?" and making that analysis repeatable to be used across different teams and customers
- Create tooling and support for statistical analyses: for example designing an experiment to have an even distribution across control and test users, supporting ongoing analysis of the experiment, and ultimately delivering insights and a recommendation based on the results of the test
- Build and share static and dynamic data visualizations that can be used both internally and externally based on requirements and feedback from customers
- Own the end-to-end creation of chatbots starting from the initial key intent discovery to configuration of chatbots using standard 3p and internal tools
We are 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.)
- Experience with statistical concepts such as statistical significance, selection bias, determining outliers, etc.
- Strong written and verbal skills willing and able to present results and back up findings to internal and external executives
- [Bonus] Familiarity with standard chatbot or dialogue frameworks (e.g. Dialog Flow, Rasa, Amazon Lex, etc.)
This job is no longer open