Senior Data Scientist - Marketing Analytics

USA (Remote)

$133K/yr – $253K/yrSenior Level5+ years expFull time

Posted 5 months ago

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Job Summary

I will summarize the role based on the responsibilities, requirements, and benefits provided. The position focuses on building an integrated measurement attribution framework and predictive models to drive growth, with emphasis on B2B SaaS and enterprise sales dynamics. The candidate should have strong technical chops in Python/SQL, and be able to translate statistical outputs for executives, while owning end-to-end model life cycles and auditable engineering practices.

Job Description

Responsibilities

  • 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!

Requirements

  • 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.
  • B2B SaaS Savvy: Deep knowledge of lead-to-account mapping, buying groups, and the transition from product usage to enterprise sales.
  • Technical Toolkit: Expert-level Python and SQL. You take pride in writing clean code that your peer community can easily follow!
  • Strategic Influence: Can you translate complex statistical outputs into a clear story for executive leaders?

Preferred

  • Our Stack: Google BigQuery, Fivetran, dbt, or Tableau.
  • Open-Source Mastery: Experience with frameworks like Google Meridian or Meta Robyn.
  • Future-Tech: Interest in LLMs and Agentic workflows to drive signal resilience and conversational analytics.

Benefits

  • 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
  • Increase your impact - 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
  • Embracing parenthood with minimum of 16 weeks of parental leave
  • Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds.
  • Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender 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.
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Elastic

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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Founded in 2012
San Francisco, California, USA
4.8K employees (453 in marketing)
70% recommend to a friend
71% CEO approval

Traffic Signals

Monthly Visitors
1.6M
Monthly Google Ads Budget
$388.6K
Traffic Source Mix
Search
50.9%
Direct
39.2%
Referral
7.1%
Social
1.7%
Paid
1.1%

Headcount Trend

Current headcount: ~4.8K

Marketing Team

Marketing Team Size
215 (4% of company)
Median Career Experience
16 years
Median Tenure
4.3 years
Marketing Roles Posted (Last 30 Days)
3

Funding

Total Funding
$162M
Last Raise
$58M
Secondary Market, 8 years ago

Funding History

  • May 2018
    Secondary Market
  • Jul 2016
    Series D • $58M
  • Jun 2014
    Series C • $70M

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