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Data Scientist II, MarTech

CJ

$87,210 - $115,000
Nov 2, 2025
Santa Barbara, CA, United States of America
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CJ is looking to solve the problem of driving advertising program growth across e-commerce, travel, and finance verticals by supporting and leading advanced analysis projects for individual clients and internal collaborators within the Data Science organization.

Requirements

  • 3-5 years of professional experience in Data Science and Analytics.
  • 2+ years of hands-on experience with PySpark, Scala, and Tableau.
  • Must have Ad Tech / MarTech industry experience, specifically in e-commerce, travel, and finance.
  • Proficiency with GitLab or GitHub for version control and collaborative development.
  • Experience developing alongside LLM code assistants (e.g., Copilot, Claude, Codex).
  • Preferred: Experience implementing LLMs into business workflows, including training, fine-tuning, and manipulation for applied use cases.
  • Experience with incrementality testing, MMM, and lift test design and analysis.

Responsibilities

  • Lead and support advanced client-facing data science and analytics projects, including forecasting, incrementality measurement, and program optimization.
  • Take ownership of project scoping, data querying and modeling, quality checks, and delivery of actionable insights.
  • Analyze large-scale e-commerce and advertising datasets, demonstrating statistical and ML methods to uncover opportunities and support growth strategies.
  • Design and interpret incrementality tests, marketing mix models (MMM), and lift tests to assess causal impact and optimize marketing spend.
  • Build machine learning models, such as forecasting and inferential analysis, and implement solutions about LLM when relevant.
  • Create and deliver Tableau dashboards and reporting that distill complex analysis into clear, actionable insights for both internal and external stakeholders.
  • Collaborate with account teams, engineers, and other data scientists to design and implement scalable data solutions.

Other

  • 3-5 years of professional experience in Data Science and Analytics.
  • Strong client-facing experience, including presentations and solution delivery.
  • Proven ability to deliver scalable data solutions and actionable insights in digital advertising or affiliate marketing.
  • Strong communication skills with the ability to simplify and explain complex technical results to non-technical collaborators.
  • Hybrid role requiring 3 days a week in office.