Senior Data Scientist
Vanta · Location not specified · Remote
Vanta
Vanta is a leading player in the trust and security compliance automation market, best known for helping companies continuously monitor security controls and streamline audits for frameworks like SOC 2, ISO 27001, and HIPAA. Founded in 2018, Vanta emerged alongside a wave of security-focused startups aiming to replace manual, spreadsheet-driven compliance work with automated, always-on evidence collection, competing with vendors like Drata, Secureframe, and Tugboat Logic in the fast-growing GRC space. The company has scaled quickly, expanding beyond its original compliance automation roots into broader trust management, serving startups through larger enterprises that need to prove security posture to customers and regulators alike.
Gig description
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. What you’ll do as a Senior Data Scientist at Vanta: - Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure - Leverage AI-powered analytics tools and data agents (e. g. , Snowflake Cortex) to accelerate insight generation, automate repeatable analysis, and scale decision-making - Define and evolve measurement frameworks for product health, customer lifecycle, and AI-powered product experiences - Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data - Help define Vanta’s analytics strategy and AI measurement practices as our product and data platform evolve - Lead executive analytics reviews, translating complex analyses into clear recommendations that drive company decisions How to be successful in this role: - 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 other statistical analyses to inform product decisions - Experience building scalable data assets, metrics, and analytical frameworks on modern cloud data platforms (e. g. , Snowflake, dbt) - Deep experience with data visualization - Experience using modern AI-assisted analytics tools or LLM-powered workflows to accelerate analysis and improve decision making - Deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics - Experience partnering closely with Product, Engineering, Design, and Customer Success throughout the product lifecycle - Demonstrated ability to translate ambiguous business problems into meaningful analytical frameworks and actionable recommendations - Passion for building reusable analytical systems that increase organizational leverage rather than one-off analyses - 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. What you can expect as a Vanta’n: - 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! - Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney #LI-remote At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply. About Vanta We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent. Referral Instructions If you are being referred for the role, please contact that person to apply on your behalf.
Requirements to meet
Disclaimer
Suggestions only — review each course yourself to judge whether it meets the role's requirements. Completing a course doesn't guarantee proficiency or that you'll qualify; hiring standards vary by employer.
Skills required
Machine Learning (required)
GapCourses that may help you meet this requirement:
Leverage AI tools and resources for your business
Microsoft Learn · beginner · Free · 42m · ★ 4.8
This course covers Machine Learning, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 1 hours.
Fundamentals of Reinforcement Learning
Coursera · intermediate · $79/mo · 15h · ★ 4.8
This course directly covers Machine Learning, which appears as a requirement in the Senior Data Scientist posting at an intermediate level and can be completed in approximately 15 hours.
Introduction to DevOps principles for machine learning
Microsoft Learn · beginner · Free · 33m · ★ 4.7
This course directly covers Machine Learning, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 1 hours.
Python (required)
GapCourses that may help you meet this requirement:
PySpark & Python: Hands-On Guide to Data Processing
Coursera · beginner · $49/mo · 5h · ★ 4.4
This course directly covers Python, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 5 hours.
Data Analysis with Python
freeCodeCamp · beginner · Free
This course directly covers Python, which appears as a requirement in the Senior Data Scientist posting at a beginner level.
Pandas
Kaggle Learn · beginner · Free
This beginner Pandas course helps build foundational Python skills relevant to the Senior Data Scientist role's Python requirement.
SQL (required)
GapCourses that may help you meet this requirement:
Sort and filter results in T-SQL
Microsoft Learn · beginner · Free · 57m · ★ 4.8
This beginner course helps build foundational SQL skills, addressing the SQL skill gap identified for the Senior Data Scientist role.
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers SQL, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 0 hours.
Explore fundamental relational data concepts
Microsoft Learn · beginner · Free · 37m · ★ 4.8
This course covers SQL, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 1 hours.
Analytics (required)
GapCourses that may help you meet this requirement:
Explore concepts of data analytics
Microsoft Learn · beginner · Free · 15m · ★ 4.8
This course directly covers Analytics, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 0 hours.
Explore fundamentals of large-scale analytics
Microsoft Learn · beginner · Free · 51m · ★ 4.8
This course directly covers Analytics, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 1 hours.
Data Analysis with Python
freeCodeCamp · beginner · Free
This course covers Analytics, which appears as a requirement in the Senior Data Scientist posting at a beginner level.
Data Visualization (required)
GapCourses that may help you meet this requirement:
Explore the analytics process that turns data into insights
Microsoft Learn · beginner · Free · 18m · ★ 4.8
This course directly covers Data Visualization, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 0 hours.
Explore fundamentals of large-scale analytics
Microsoft Learn · beginner · Free · 51m · ★ 4.8
This course directly covers Data Visualization, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 1 hours.
Clean, transform, and load data in Power BI
Microsoft Learn · intermediate · Free · 2h · ★ 4.8
This course directly covers Data Visualization, which appears as a requirement in the Senior Data Scientist posting at an intermediate level and can be completed in approximately 2 hours.
Statistics (required)
GapCourses that may help you meet this requirement:
Statistics Foundations
Coursera · beginner · $49/mo · 23h · ★ 4.8
This course directly covers Statistics, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 23 hours.
Business Statistics and Analysis Specialization
Coursera · beginner · $49/mo · 103h · ★ 4.7
This course directly covers Statistics, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 103 hours.
How to Process, Analyze and Visualize Data
MIT Learn · beginner · Free
This beginner course on processing, analyzing, and visualizing data supports the Statistics skill needed for the Senior Data Scientist role, though no specific matched keywords were provided to confirm direct topic overlap.
Product Strategy (required)
GapCourses that may help you meet this requirement:
Product Strategy and Roadmapping
Coursera · beginner · $49/mo · 21h · ★ 4.8
This course directly covers Product Strategy, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 21 hours.
Product Management: An Introduction
Coursera · beginner · $49/mo · 20h · ★ 4.6
This course covers Product Strategy, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 20 hours.
AI Innovation & Product Strategy Specialization
Coursera · intermediate · $49/mo · 26h · ★ 4.3
This course directly covers Product Strategy, which appears as a requirement in the Senior Data Scientist posting at an intermediate level and can be completed in approximately 26 hours.
Customer Success (required)
GapCourses that may help you meet this requirement:
Mastering Customer Success
Coursera · beginner · $49 · 20h
This course directly covers Customer Success, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 20 hours.
Launch Your Customer Engagement Career
Coursera · beginner · $49/mo · 1h
This course directly covers Customer Success, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 1 hours.
AI-Powered Customer Success Specialization
Coursera · intermediate · $49/mo · 40h · ★ 4.6
This course directly covers Customer Success, which appears as a requirement in the Senior Data Scientist posting at an intermediate level and can be completed in approximately 40 hours.
Large Language Models (required)
GapCourses that may help you meet this requirement:
Leverage AI tools and resources for your business
Microsoft Learn · beginner · Free · 42m · ★ 4.8
This course covers Large Language Models, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 1 hours.
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers Large Language Models, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 0 hours.
Use AI for everyday tasks
Microsoft Learn · beginner · Free · 43m
This beginner course on using AI for everyday tasks is recommended to build foundational familiarity relevant to Large Language Models, addressing a basic skill gap for the Senior Data Scientist role.
Snowflake (required)
GapCourses that may help you meet this requirement:
Intro to Snowflake for Devs, Data Scientists, Data Engineers
Coursera · beginner · $49/mo · 12h · ★ 4.8
This course directly covers Snowflake, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 12 hours.
Snowflake - Introduction Course
Coursera · beginner · $49 · 4h · ★ 4.5
This course directly covers Snowflake, which appears as a requirement in the Senior Data Scientist posting at a beginner level and can be completed in approximately 4 hours.
Building AI Agents with Snowflake
Coursera · intermediate · $49/mo · 5h · ★ 4.8
This course directly covers Snowflake, which appears as a requirement in the Senior Data Scientist posting at an intermediate level and can be completed in approximately 5 hours.