Marketing Science Product Engineer

Marketing Science Product Engineer

Join our team as a Marketing Science Product Engineer. In this role, you will bridge the gap between data science and engineering. You'll transform our marketing measurement frameworks into practical Python tools used by various teams.

About the Role

As a Marketing Science Product Engineer, you will work closely with the Director of Marketing Science - Product, marketing scientists, and engineering teams. Your focus will be on building scalable, maintainable code for causal measurement. This role is not about analytics; it’s about product development in Python.

What You'll Do

• Model Engineering & Python Development:
  • Implement MMM modules like Sequential Cross-Validation utilities and revenue allocation logic.
  • Convert notebook workflows into reusable Python modules.
  • Automate Meridian pipelines.
• Causal Measurement & Feature Development:
  • Build statistical utilities for diminishing-return curves and efficiency quadrants.
  • Support product-approved attribution methodologies.
• Workflow Automation & Registry:
  • Develop and maintain metadata schemas for MMM model registry.
  • Integrate registry logging with Snowflake or other data stores.
• Collaboration & Documentation:
  • Translate specifications into code with leadership.
  • Maintain clear documentation and onboarding material.
• Bridge Between Methodology, Product, and Modelers:
  • Act as a technical connector between Product and the Marketing Science modeling team.
  • Onboard modelers to ensure consistent utility usage.
• Testing, QA & Reliability:
  • Write and maintain unit tests and regression tests for MMM packages.
  • Validate code performance across various conditions.

What We're Looking For

• 5 years of experience in data science, data engineering, and machine learning engineering.
• Strong proficiency in Python, including:
  • Modular package design and clean function architecture.
  • Experience with Pandas, NumPy, SciPy, and testing frameworks.
• Experience building time-series and causal models.
• Familiarity with Media Attribution and Bayesian modeling.
• Experience with SQL, Snowflake, or GCP.
• Strong communication skills to explain model mechanics and code behavior.

Nice to Have

• Experience with reusable plotting and BI utilities like Looker Studio, Matplotlib, Plotly, and Seaborn.

What We Offer

• Salary: $120,000 - $150,000 per year.
• Benefits:
  • Comprehensive health, dental, and vision insurance.
  • 401(k) plan with company match.
  • Flexible work hours and remote work options.
  • Generous paid time off policy.
  • Continuous learning and development opportunities.

At Power Digital, we value diversity and believe that different backgrounds and experiences make us stronger. We are an Equal Opportunity Employer and welcome candidates from all walks of life. If you have any questions about the authenticity of this job posting, please reach out to us at recruiting@powerdigital.com.