We are seeking a passionate Data Scientist to join our dynamic team, where you will have the opportunity to drive impactful marketing insights and contribute to data-driven decision-making. If you have a strong background in marketing measurement and a desire to innovate, we want to hear from you!

Responsibilities

• Develop and enhance Marketing Mix Models to assess channel effectiveness and optimize budget allocation.
• Create and refine Customer Lifetime Value models to inform acquisition and retention strategies.
• Design and analyze A/B tests and quasi-experiments to evaluate the impact of marketing campaigns.
• Collaborate with marketing teams to translate insights into actionable recommendations.
• Work cross-functionally with data scientists and business stakeholders to implement measurement solutions.

Skills

• PhD or Master's degree in a relevant field such as Computer Science, Statistics, or Economics.
• Minimum of 3 years of experience in building machine learning models for business applications.
• Strong understanding of causal inference methods and experience with A/B testing.
• Proficiency in programming languages, particularly Python or R.
• Excellent analytical and problem-solving skills with a passion for data-driven insights.

Preferred Skills

• 5+ years of experience in marketing measurement models, including multi-touch attribution.
• Familiarity with cloud computing tools, especially AWS services.
• Experience in publishing research in top-tier peer-reviewed journals or conferences.
• Outstanding communication skills, capable of conveying complex concepts to diverse audiences.

At Horizontal, we embrace diversity, equity, and inclusion as foundational principles, and we encourage applicants from all backgrounds to apply and contribute to our collaborative culture.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.