Senior Data Scientist

Role Overview

The Growth team connects market insight, data quality, and operational execution to help Immuta make better business decisions. This role sits at the intersection of data science, analytics engineering, and business strategy.

What You Will Do

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.

Why It Might Be a Fit

This is a highly hands-on, individual contributor role for someone who enjoys working across the full data lifecycle. You’ll be expected to define the question, choose an appropriate analytical approach, communicate uncertainty clearly, and help stakeholders move from analysis to action.

Requirements

• 5+ years of experience in data science, quantitative analytics, analytics engineering, or a related field
• Strong applied-statistics foundation, including regression, hypothesis testing, experimental design, quasi-experimental methods, and reasoning with small or imperfect samples
• Proficiency using Python for analysis and modeling, including tools such as pandas, statsmodels, scikit-learn, or comparable libraries
• Advanced SQL skills, including the ability to work with complex data models, validate results, and investigate data-quality issues
• 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
• A track record of translating analysis into recommendations that influenced a business decision, operating practice, or strategic priority, along with the ability to explain technical analysis and business implications to leadership and non-technical stakeholders

Benefits

• 100% employer paid Healthcare (Medical, Dental, Vision) premiums for you and your dependents (including Domestic Partners)
• Stock Options
• Paid parental leave (Both Maternity and Paternity)
• Unlimited Paid time off (U.S. based positions)
• Learning and Development Resources