Join Vanta as a Senior Data Scientist to build trusted data assets and influence product strategy through analytics.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 4 hours ago
Skills & Technologies
AI in the day-to-day
Leverage AI-powered analytics tools and data agents to accelerate insight generation and automate analysis.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Scientist at Vanta, the individual will focus on establishing a robust business analytics function by collaborating with various stakeholders to enhance data processes and insights. Key skills include proficiency in SQL, Python, and experience with modern analytics tools like Snowflake and dbt, alongside a strong foundation in statistics and machine learning. This position is ideal for someone with over four years of experience in data roles, particularly in B2B SaaS environments, who can translate complex data into actionable strategies. Vanta's emphasis on continuous security monitoring and a supportive team culture further enriches the work environment.
Joblaze insights
Quick facts
From the original posting
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
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Family planning benefits
Matching 401(k) contribution with immediate vesting
11 company-paid holidays
#LI-remote
Standard company text repeated across Vanta's postings is omitted here.