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

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
Open to using AI to amplify their skills and strengthen their work
demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact

Industry-competitive salary and equity
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits
Matching 401(k) contribution with immediate vesting
Flexible PTO policy, plus 80 hours of Sick Time
11 company-paid holidays
Virtual team building activities, lunch and learns, and other company-wide events!

Senior Data Scientist

Key skills