Vanta Logo

Vanta

Senior Data Scientist

Posted 2 Days Ago
Remote
Hiring Remotely in U.S.
Senior level
Remote
Hiring Remotely in U.S.
Senior level
Lead development of Vanta's business analytics function: build scalable product data assets, define measurement frameworks, use AI-assisted analytics, partner with cross-functional teams, and deliver executive-level recommendations to drive product and business decisions.
The summary above was generated by AI

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.

 
 
 

Vanta New York, New York, USA Office

New York, United States

Similar Jobs

Yesterday
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Hands-on Senior Data Scientist focused on building, evaluating, and deploying ML models. Owns MLOps pipelines, model serving, monitoring, and integration with data and software engineering teams to ensure robust, production-ready AI solutions.
Top Skills: PysparkPythonSQL
3 Days Ago
Remote
United States
192K-228K Annually
Senior level
192K-228K Annually
Senior level
Healthtech • Social Impact • Software • Telehealth
Owner of analytics for EHR, revenue cycle, and operations: design and run experiments, analyze financial and operational metrics, investigate billing and account issues, and deliver actionable insights to Product, Operations, Finance, and Customer Experience to improve accuracy, reduce friction, and support growth.
Top Skills: EhrHexLookerPythonRevenue Cycle ManagementSQLTableau
8 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
135K-165K Annually
Senior level
135K-165K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Lead end-to-end development and deployment of predictive and hybrid deep learning/LLM models for insurance use cases. Prototype, validate, and productionize models using modern ML frameworks and MLOps, collaborate with product and engineering, and communicate technical results to stakeholders to drive measurable business impact.
Top Skills: APIsAWSAzureCi/CdDatabricksDockerExperiment TrackingFederated LearningGCPJupyterLightgbmLlmsModel ServingNeural NetworksNumpyPandasPipeline OrchestrationPythonPyTorchRelational DatabasesScikit-LearnSQLTensorFlowTime Series ModelingTransformersXgboost

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account