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Role Description

This role involves building our marketing intelligence engine as a Senior Data Scientist. You will connect the dots from customer discovery to revenue.

This is a high-visibility role for a builder-operator. You'll own the full technical lifecycle—architecting models, tuning for precision, and ensuring our intelligence layers run reliably every day!

What You Will Be Doing

• Intelligence Systems: Own the hands-on development of our IMA (Integrated Measurement Attribution) framework. You will merge macro-trends with micro-user journeys into a single source of truth.
• Predictive Frameworks: Build and tune the models that forecast growth. From lead scoring to churn prediction, you’ll develop the frameworks that tell us where our next customer is coming from.
• Account-Based Intelligence: Architect models that decode the B2B journey. You will synthesize lead-to-account signals and revenue motions across PLG and Sales-Led funnels.
• Causal Inference: Isolate the true lift of marketing spend. You’ll build "always-on" incrementality frameworks to guide our next dollar of investment.
• Full-Stack Ownership: Manage the model lifecycle from prototype to production. We value engineering excellence, GitHub version control, and auditable logic!

Qualifications

• 5+ years of Data Science experience (or Master’s + 3 years) with a track record of autonomously leading complex projects to production.
• 5+ years shipping complex predictive models to production autonomously. You know how to build, tune, and support live systems.
• Deep knowledge of lead-to-account mapping, buying groups, and the transition from product usage to enterprise sales.
• Expert-level Python and SQL. You take pride in writing clean code that your peer community can easily follow!
• Can you translate complex statistical outputs into a clear story for executive leaders?

Bonus Points

• Experience with Google BigQuery, Fivetran, dbt, or Tableau.
• Experience with frameworks like Google Meridian or Meta Robyn.
• Interest in LLMs and Agentic workflows to drive signal resilience and conversational analytics.

Compensation

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

• The typical starting salary range for this role is: $133,100 — $210,600 USD.
• The typical starting salary range for this role in select locations is: $159,900 — $252,900 USD.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Minimum of 16 weeks of parental leave.

Additional Information

Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.