Senior Data Scientist
Vanta is hiring a Senior Data Scientist for a remote role open to applicants in United States. Level rates it ; you can apply on Vanta.
Level's read on this job
- Level rates this data scientist role Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions Snowflake, dbt and Python among its tools and skills.
- Level classes it as a senior role.
- Vanta has 82 other open roles on Level.
AI in this role
Build and maintain trusted product data assets and leverage AI-powered analytics tools to accelerate insights and drive product strategy.
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.
How we rate this
Senior Data Scientist at Vanta rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $166k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where statistics was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where experiment design was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Science, SQL, Statistics, Machine learning, and Experiment Design. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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