Sr. Data Scientist

Immuta • College Park, MD

5d • $148,500 - $170,500 • Hybrid

About The Position

Immuta is hiring a Senior Data Scientist for its Growth team, which connects market insight, data quality, and operational execution to support better business decisions. Reporting to the Director of Growth Operations, this hands-on individual-contributor role sits at the intersection of data science, analytics engineering, and business strategy. The role owns the path from raw data to decisions leaders can act on: bringing data into Snowflake, modeling it in dbt to production standards, investigating questions about Immuta’s market and revenue motion, and building evidence to inform decisions. Example topics include intent and engagement signals preceding opportunity creation, whether account-readiness scores predict conversion, partner overlap and deal outcomes, and evaluating event performance while accounting for existing buyer intent. The successful candidate will define analytical questions, select appropriate methods, communicate uncertainty, and help stakeholders turn analysis into action.

Requirements

• At least 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 working with complex data models, validating results, and investigating data-quality issues.
• Production experience with dbt or a comparable data-transformation framework.
• Experience bringing data into a warehouse through APIs, Snowpipe, or comparable ingestion tools.
• Track record of translating analysis into recommendations that influenced a business decision, operating practice, or strategic priority.
• Ability to explain technical analysis and business implications to leadership and non-technical stakeholders.

Nice To Haves

• Familiarity with a business intelligence tool such as Looker or Tableau.
• Experience working with go-to-market or revenue data.

Responsibilities

• Own the reliability of revenue-pipeline data used for business reporting and decisions; investigate data issues, identify root causes, resolve problems, and document definitions and validation practices.
• Bring new data sources—including enrichment, intent, partner, and product-usage data—into Snowflake using Snowpipe, APIs, and related tools.
• Build and maintain production-quality dbt models that make data reliable, reusable, and accessible to business and technical stakeholders.
• Translate ambiguous business questions into testable hypotheses with clearly defined outcomes and success criteria.
• Build, validate, and improve scoring and prioritization models, including account-readiness, ideal customer profile, and lead-qualification models.
• Apply regression, hypothesis testing, experimental and quasi-experimental design, and uncertainty quantification to questions involving small, incomplete, or messy datasets.
• Communicate findings, recommendations, assumptions, and limitations to business leaders and other stakeholders to support clear decision-making.
• Automate recurring analysis and reporting through reliable, repeatable workflows rather than manual effort.
• Improve documentation, analytical standards, and data practices as the Growth and Revenue Operations function scales.

Benefits

• Employer-paid medical, dental, and vision premiums for employees and dependents, including domestic partners.
• Stock options.
• Paid maternity and paternity leave.
• Unlimited paid time off for U.S.-based positions.
• Learning and development resources.
• The role may also be eligible for additional compensation, such as commission, variable pay, or equity, and comprehensive benefits, including medical, dental, vision, and a 401(k) plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed