Senior Data Scientist

Vanta

38d•Remote

About The Position

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Data and Analytics team is currently looking for a Senior Data Scientist to join us! You’ll be responsible for laying the foundation for a best-in-class business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future.

Requirements

Have at least 4 years of experience working with data as a data scientist / analyst in an applied business context
Deep experience with data visualization
Professional experience with statistics and analytical techniques.
Experience with experiment design and hypothesis testing in small n experiments.
Building models for predicting the P(churn) of a customer
Building models for predicting risk
Intense curiosity about data, the world, where they match, and why they do or don’t
Product lifecycle expertise, in particular converting a product experience into a growth analytics framework
Executive communication skills. You can tell a compelling story about the status quo
Deep understanding of Product analytics stacks (Heap, Amplitude, StatSig, client stride tracking, and browser mechanics) and integration of product data with Customer Success teams
Deep understanding of Go to Market data stacks (Salesforce, Hubspot, Catalyst, Zendesk) and integration of product data with Customer Success teams systems and processes
Deep understanding of B2B SaaS predictive analytics
Experience working within Product Teams
Experience leading executive data reviews
Experience delivering change management with BI tooling

Responsibilities

Write DBT SQL pipelines to automate and manage data assets in Snowflake for our product partners.
Python/R with Hex.tech to conduct statistical analysis of product usage and engagement data.
Work in Sigma Computing to find insights in our customer journey
Conduct and manage business enhancing analytical projects: defining and predicting churn, specifying and building a product
Set the bar high for what is expected of predictive analytics projects.
Define the analytics practice for our Product Analytics efforts
Help craft our AI and LLM measurement practices
Lead Analytics Reviews with C-level partners