Senior Data Scientist

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🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Vanta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

📋 Compliance

🔐 Security

☁️ SaaS

💰 $40M Series B on 2022-10

Compliance • Security • SaaS

Vanta is a trust management platform that streamlines compliance workflows and enhances security programs for businesses. By leveraging automation, Vanta helps companies achieve and maintain compliance with frameworks like SOC 2, ISO 27001, and GDPR. It offers solutions for companies of all sizes, from startups to enterprises, ensuring security and compliance at scale. With integrations with over 375 tools, Vanta leverages AI to simplify tasks such as questionnaire automation and vendor risk management. Vanta empowers service providers and auditors to deliver efficient and satisfactory experiences, helping businesses build trust with their clients and partners.

📋 Description

• Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure • Leverage AI-powered analytics tools and data agents, such as Snowflake Cortex, to accelerate insight generation and automate repeatable analysis • Define and evolve measurement frameworks for product health, customer lifecycle, and AI-powered product experiences • Partner with Product, Engineering, Design, and Customer Success to influence product strategy through data • Help define Vanta’s analytics strategy and AI measurement practices • Lead executive analytics reviews and translate complex analyses into clear recommendations that drive company decisions

🎯 Requirements

• 4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting • Strong foundation in SQL, Python (or R), statistics, and machine learning • Experience designing and evaluating experiments, predictive models, and statistical analyses for product decisions • Experience building scalable data assets, metrics, and analytical frameworks on modern cloud data platforms such as Snowflake and dbt • Deep experience with data visualization • Experience using modern AI-assisted analytics tools or LLM-powered workflows • Deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics • Experience partnering with Product, Engineering, Design, and Customer Success throughout the product lifecycle • Ability to translate ambiguous business problems into analytical frameworks and actionable recommendations • Passion for building reusable analytical systems • Curiosity, willingness to learn, and sound judgment in applying AI responsibly • Ability to work in the United States and legal authorization to work in the role’s location

🏖️ Benefits

• 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