Senior Data Scientist (Python)

Location: Hybrid in College Park, MD; Columbus, OH; or Boston, MA, United States

Salary: USD 148,500–170,500 per year

Company

A data authorization company providing governed, policy-based access to enterprise data for people and AI agents, with integrations across major data, cloud, identity, and enterprise platforms.

What you will do

• Own the reliability of revenue-pipeline data used for reporting and decision-making; investigate root causes, resolve issues, and document definitions and validation practices.
• Bring enrichment, intent, partner, and product-usage data into Snowflake through Snowpipe, APIs, and related tools.
• Build and maintain production-quality dbt models that make data reliable, reusable, and accessible.
• Translate ambiguous business questions into testable hypotheses and build, validate, and improve 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 datasets.
• Automate recurring analysis and reporting, communicate findings and limitations to stakeholders, and improve analytical standards and documentation.

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 in Python for analysis and modeling, including pandas, statsmodels, scikit-learn, or comparable libraries.
• Advanced SQL skills for 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 business decisions, operating practices, or strategic priorities.
• Ability to explain technical analysis and business implications to leadership and non-technical stakeholders.

Nice to have

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

Culture & Benefits

• Hybrid workplace with offices in Boston, Columbus, and College Park.
• 100% employer-paid medical, dental, and vision premiums for employees and dependents, including domestic partners.
• Stock options and paid maternity and paternity leave.
• Unlimited paid time off for U.S.-based positions.
• Learning and development resources.

Hiring process

• Applications from third-party recruiters are not accepted; candidate submissions must be made directly by the candidate.