Consultant

About the Role

Key Responsibilities

• Become adept in mathematical modeling, creating econometric models to estimate marketing-driven sales and ROI, and implementing machine learning to forecast consumer response and future ROIs.
• Diagnose mathematical integrity and derive actionable business implications from model results.
• Identify brand, category, and competitive information that explains clients' sales.
• Evaluate media budget, media mix, and media buys to address sales from media.
• Assess target customers and audience to shape future brand and media strategies.
• Interview clients' teams and marketing partners.
• Train effective and succinct presentation abilities.
• Track data and information timely and deliver modeling projects.

Requirements

• Four or more years of experience in data science, consulting, or marketing analytics.
• Strong analytical skills with curiosity and a willingness to think the impossible.
• Deadline-driven, organized, and capable of multi-tasking.
• Strong verbal and written skills with an interest in presentations.
• Proficiency with data and spreadsheet tools like MS Excel/PPT, SQL, and/or Tableau.
• Proficiency or familiarity with open-source modeling languages, such as R or Python.
• Proficiency or familiarity with econometrics, ML, multivariate analysis, and/or time series analysis.
• A bachelor's degree is required; a master's degree in a quantitative discipline is a plus.

Nice to Have

• Any prior interest or knowledge in marketing science topics and advertising/media data.

Qualifications

• Bachelor's degree in a relevant field.
• Master's degree in a quantitative discipline is a plus.

Benefits & Perks

• Medical coverage, dental, vision, disability, 401K, and paid time off.
• Parental and family care leave, family forming assistance, tuition reimbursement.
• Flexible time off.
• Support for accommodation or assistance with the application or onboarding process.