Responsibilities

• Lead and support client-facing data science and analytics projects within a complex enterprise digital advertising environment
• Own end-to-end project execution, including scoping, data exploration, modeling, validation, and delivery of actionable insights
• Ensure data accuracy and reliability across reporting and analytics workflows, including data validation, monitoring, and issue resolution
• Analyze large-scale e-commerce and advertising datasets to find opportunities and support growth across paid media and lead generation programs
• Design and interpret incrementality tests, lift studies, and other measurement frameworks to evaluate performance and optimize marketing spend
• Develop analytical models, including forecasting and inferential analysis, and apply machine learning techniques where appropriate to improve workflows
• Build Tableau dashboards and chatbot or agent solutions and reporting that translate complex analysis into clear, actionable insights for internal and client collaborators
• Collaborate with account teams, engineers, and data scientists to deliver integrated, scalable data solutions
• Present findings and recommendations to both technical and non-technical audiences in a clear and compelling way

Requirements

• 2+ years of experience in data science, analytics, or a related field
• Hands-on experience with Python, PySpark or Scala, and Tableau
• Experience using GitLab or GitHub for version control and collaborative development
• AdTech or MarTech experience, ideally within e-commerce, travel, or finance
• Strong understanding of performance marketing, including affiliate, influencer, and partner-based models, as well as how traffic, conversion, and commission structures drive program performance
• Experience working with enterprise clients or within complex marketing organizations
• Proven ability to deliver actionable insights and scalable data solutions in a client-facing environment
• Familiarity with measurement methodologies such as incrementality testing, lift studies, or MMM
• Experience working with or applying AI-driven solutions, including LLM-based tools
• Strong communication skills with the ability to explain complex concepts to a range of stakeholders
• This is a hybrid role requiring 3 days a week in Chicago or Atlanta

Preferred

• Experience integrating LLMs into business workflows or applying them to analytics use cases
• Experience with forecasting, attribution, or advanced measurement frameworks

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