Responsibilities

• Lead and support advanced client-facing data science and analytics projects within a complex enterprise digital advertising environment, including forecasting, incrementality measurement, and program optimization.
• Own end to end data reliability and validation processes, including oversight of medallion layer data structures, quality controls, data transfers, uptime monitoring, and ensuring timely, accurate delivery of data to support client reporting and decision making.
• Take ownership of project scoping, data querying and modeling, quality checks, and delivery of actionable insights, developing a deep understanding of client integrations, attribution logic, and performance drivers.
• Analyze large-scale e-commerce and advertising datasets, leveraging statistical and ML methods to uncover opportunities and support growth strategies across paid media and lead generation programs.
• Design and interpret incrementality tests, marketing mix models (MMM), and lift tests to assess causal impact, inform bidding and budget allocation strategies, and optimize marketing spend.
• Develop machine learning models, including forecasting and inferential analysis, and implement LLM-driven solutions where applicable to improve analytical workflows and delivery.
• Create and deliver Tableau dashboards and reporting that distill complex analysis into clear, actionable insights for both internal and enterprise collaborators.
• Collaborate with account teams, engineers, and other data scientists to design and implement scalable data solutions across integrated marketing ecosystems.
• Present technical findings and recommendations to non-technical audiences, demonstrating strong client-facing and communication skills in high-visibility environments.

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 Insurance, e-commerce, travel, or finance.
• Strong understanding of digital advertising practices, including media buying, bidding strategies, and lead generation economics.
• Experience operating within complex, enterprise-level marketing organizations with integrated data environments.
• 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.
• Proficiency with GitLab or GitHub for version control and collaborative development.
• Experience developing alongside LLM code assistants (e.g., Copilot, Claude, Codex).
• Experience with incrementality testing, MMM, and lift test design and analysis.
• Strong communication skills with the ability to simplify and explain complex technical results to non-technical stakeholders.
• You must be work authorized in the United States without the need for employer sponsorship.

Preferred

• Experience implementing LLMs into business workflows, including training, fine-tuning, and applied use cases.

Benefits

• Flexible time off without the hassle of accrual
• A generous number of paid holidays
• Company-sponsored team-building events
• An Employee Referral Program
• Annual recognition awards
• Hybrid work arrangements for optimal work-life balance
• Parental bonding leave
• Backup care options for children and elders
• An employee discount program
• International SOS program for global support