Senior Data Scientist

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: $168K - $198K

Vanta is dedicated to securing the internet and protecting consumer data, empowering companies to practice better security and prove it with ease. The Data and Analytics team is seeking a Senior Data Scientist to build a best-in-class business analytics function, partnering closely with business stakeholders to meet current and future needs.

Responsibilities

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

Requirements

• Experience: At least 4 years of experience working with data as a data scientist / analyst in an applied business context.
• Statistics & Analytical Techniques: Professional experience with statistics and analytical techniques.
• Experiment Design: Experience with experiment design and hypothesis testing in small n experiments.
• Modeling: Experience building models for predicting customer churn (P(churn)) and risk.
• Curiosity & Data Understanding: Intense curiosity about data, the world, and its relation to business.
• Product Lifecycle Expertise: Understanding of product lifecycle, particularly converting product experiences into growth analytics frameworks.
• Communication Skills: Executive communication skills and the ability to tell a compelling story about the status quo.
• Analytics Stack Knowledge: Deep understanding of Product analytics stacks (e.g., Heap, Amplitude, StatSig, client stride tracking, browser mechanics) and integration of product data with Customer Success teams.
• B2B SaaS Knowledge: Deep understanding of Go to Market data stacks (e.g., Salesforce, Hubspot, Catalyst, Zendesk) and integration of product data with Customer Success teams' systems and processes.
• B2B SaaS Predictive Analytics: Experience working within Product Teams.
• Leadership Experience: Experience leading executive data reviews.
• Change Management: Experience delivering change management with BI tooling.

Company Information

• Mission: To secure the internet and protect consumer data.
• Benefits:
  • Industry-competitive compensation
  • 100% covered medical, dental, and vision benefits with dependents coverage
  • 16 weeks fully-paid parental Leave for all new parents
  • Health & wellness and remote workplace stipends
  • Family planning benefits through Carrot Fertility
  • 401(k) matching
  • Flexible work hours