Senior Data Scientist, Elastic
Marketing Analytics
$133.1-252.9k
Salary dependent on location. Plus stock program
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
$133.1-252.9k
Salary dependent on location. Plus stock program
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Experience & Ownership: 5+ years of Data Science experience (or Master’s + 3 years) with a track record of autonomously leading complex projects to production
- Model Development: 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?
Desirable
- 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
What the job involves
- 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?
- 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!
- 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!
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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