Immuta is the authorization layer for data access. One set of rules decides every request, in under a second, for every human and every agent.
About the role
As a Senior Data Scientist, you’ll own the path from raw data to decisions that leaders can act on. You’ll bring new data into Snowflake, model it in dbt to production standards, investigate open questions about Immuta’s market and revenue motion, and build the evidence behind better decisions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience: 5+ years of experience in data science, quantitative analytics, analytics engineering, or a related field
- Preferred Experience: Familiarity with a business intelligence tool such as Looker or Tableau, and/or experience working with go-to-market or revenue data
- Statistical Methods: Strong applied-statistics foundation, including regression, hypothesis testing, experimental design, quasi-experimental methods, and reasoning with small or imperfect samples
- Python : Proficiency using Python for analysis and modeling, including tools such as pandas, statsmodels, scikit-learn, or comparable libraries
- SQL : Advanced SQL skills, including the ability to work with complex data models, validate results, and investigate data-quality issues
- Data Platforms: Production experience with dbt or a comparable data-transformation framework, along with experience bringing data into a warehouse through APIs, Snowpipe, or comparable ingestion tools
More about this role
Immuta is the Data Authorization Company, helping the world’s largest organizations control who, and what, can access their data.
The way enterprises access data is fundamentally changing. Organizations are racing to put data to work across analytics and AI, while AI copilots and agents are emerging as an entirely new class of data consumer. Traditional approaches built around tickets, static permissions, and manual approvals were not designed for this speed, scale, or complexity.
Immuta provides the authorization layer for modern data and AI. Our platform enables organizations to provision governed access to data by policy, by request, and dynamically for AI agents, so people and AI can access the data they need while enterprises maintain security, compliance, and control.
For Chief Data Officers, that means making enterprise data dramatically easier to access and use without giving up governance. For AI leaders, it means giving AI agents secure, governed access to enterprise data so they can move from experimentation into production.
Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide.
- Our technology ecosystem includes Snowflake,...
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