Responsibilities

• Build econometric and ML models to estimate ROI and marketing-driven sales, and forecast future response.
• Diagnose model integrity and translate results into actionable business implications for clients.
• Assess marketing budget, mix, and audience to shape brand and media strategies.
• Identify competitive, cultural, economic, perceptional, and social factors that drive sales gains or losses.
• Provide timely data and insights to marketing partners and leadership to inform decisions.

Requirements

• Recent graduate with two or fewer years of experience in data science, consulting, or marketing analytics.
• A team player who is also an independent thinker; value comes from collective effort.
• Strong analytical skills with curiosity and willingness to think the impossible.
• Deadline-driven, organized, and capable of multi-tasking.
• Strong verbal and written skills with an interest in presentations.
• A bachelor’s degree is required; a master’s degree in a quantitative discipline is a plus.

Preferred

• A master’s degree in a quantitative discipline is a plus.
• Coursework in econometrics, machine learning, multivariate analysis, and/or time series analysis.
• Proficiency with open-source modeling languages such as R or Python.
• Proficiency with data and spreadsheet tools like MS Excel/PPT, SQL, and/or Tableau.
• Any prior interest or knowledge in marketing science topics and advertising/media data.

Benefits

• Medical coverage
• Dental
• Vision
• Disability
• 401K
• Parental and family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off