Senior Data Scientist - Marketing Analytics

<div class="content-intro"><p>Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.</p></div><h3><strong>What is The Role</strong></h3> <p>Elastic is growing, and our GTM strategy is evolving. We need a Senior Data Scientist to build our marketing intelligence engine. Can you help us connect the dots from customer discovery to revenue?</p> <p>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!</p> <h3><strong>What You Will Be Doing</strong></h3> <ul> <li><strong>Intelligence Systems:</strong> 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.</li> <li><strong>Predictive Frameworks:</strong> 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.</li> <li><strong>Account-Based Intelligence:</strong> Architect models that decode the B2B journey. You will synthesize lead-to-account signals and revenue motions across PLG and Sales-Led funnels.</li> <li><strong>Causal Inference:</strong> Isolate the true lift of marketing spend. You’ll build "always-on" incrementality frameworks to guide our next dollar of investment.</li> <li><strong>Full-Stack Ownership:</strong> Manage the model lifecycle from prototype to production. We value engineering excellence, GitHub version control, and auditable logic!</li> </ul> <h3>What You Bring</h3> <ul> <li><strong>Experience Ownership:</strong> 5+ years of Data Science experience (or Master’s + 3 years) with a track record of autonomously leading complex projects to production.</li> <li><strong>Model Development:</strong> 5+ years shipping complex predictive models to production autonomously. You know how to build, tune, and support live systems.</li> <li><strong>B2B SaaS Savvy:</strong> Deep knowledge of lead-to-account mapping, buying groups, and the transition from product usage to enterprise sales.</li> <li><strong>Technical Toolkit:</strong> Expert-level Python and SQL. You take pride in writing clean code that your peer community can easily follow!</li> <li><strong>Strategic Influence:</strong> Can you translate complex statistical outputs into a clear story for executive leaders?</li> </ul> <h3>Bonus Points</h3> <ul> <li><strong>Our Stack:</strong> Google BigQuery, Fivetran, dbt, or Tableau.</li> <li><strong>Open-Source Mastery:</strong> Experience with frameworks like Google Meridian or Meta Robyn.</li> <li><strong>Future-Tech:</strong> Interest in LLMs and Agentic workflows to drive signal resilience and conversational analytics.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-weight: 400;"><br>Compensation for this role is in the form of base salary. This role does not have a variable compensation component. <br></span></p> <p><span style="font-weight: 400;">The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. </span></p> <p><span style="font-weight: 400;">These ranges represent </sp ... (truncated, view full listing at source)