Sr. Data Scientist

Immuta • Columbus, MD

1d • Hybrid

About The Position

Immuta is hiring a Senior Data Scientist for its Growth team. This hands-on individual contributor role sits at the intersection of data science, analytics engineering, and business strategy. Reporting to the Director of Growth Operations, the successful candidate will own the path from raw data to decisions leaders can act on, helping improve trusted data workflows and business decisions about accounts, opportunities, and revenue programs.

The role involves bringing new data sources into Snowflake, modeling data in dbt to production standards, investigating questions about Immuta’s market and revenue motion, and developing evidence to support better decisions. Analyses may examine intent and engagement signals before opportunity creation, account-readiness scores and conversion, partner overlap and deal outcomes, or event performance while accounting for existing buyer intent. The scientist will define analytical questions, select suitable methods, communicate uncertainty, and help stakeholders turn findings 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 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.
• A 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 decision-making.
• 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 small, incomplete, or messy business 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 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 their dependents, including domestic partners.
• Stock options.
• Paid parental leave, including maternity and paternity leave.
• Unlimited paid time off for U.S.-based positions.
• Learning and development resources.
• 401(k) plan.

What This Job Offers

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