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Marketing Science Product Engineer

1 hour, 44 minutes ago
Argentina
Full-time
Senior
Data Scientist
Software Development
GCP Machine Learning Matplotlib NumPy Pandas Plotly Python SciPy Seaborn Snowflake SQL
Apply Now
Power Digital Marketing

Power Digital Marketing

Power Digital Marketing is a full-service digital marketing agency that specializes in creating innovative, data-driven marketing strategies to enhance brand presence and drive measurable growth across various service sectors.

Media
251-1K
Founded 2012
View All Jobs 28

Description

  • Implement MMM modules, including sequential cross-validation utilities, halo and cannibalization logic, revenue allocation logic, parameter QC, and scenario planning tools.
  • Convert notebook-based workflows into reusable and tested Python modules.
  • Build functions to automate Meridian pipelines.
  • Develop statistical utilities for diminishing-return and saturation curves, spend allocation visualizations, and posterior diagnostic checks.
  • Implement and support product-approved attribution methodologies.
  • Develop and maintain metadata schemas, versioning utilities, standardized logs, and data audit and EDA standardization modules.
  • Integrate registry logging with Snowflake or other data stores.
  • Translate product and methodology specifications into code in partnership with leadership and marketing science stakeholders.
  • Maintain clear documentation, examples, tests, and onboarding materials.
  • Write and maintain unit tests, regression tests, and reproducibility checks for MMM packages and utilities.
  • Validate code performance across different brands, datasets, geographies, SKU structures, and sales cycles.
  • Support the enablement of measurement analysts and modelers through standardized utilities and onboarding.

Requirements

  • 5 years of experience in data science, data engineering, or machine learning engineering.
  • Very strong proficiency in Python.
  • Experience with modular package design and clean function architecture.
  • Experience with Pandas, NumPy, SciPy, serialization, and project organization.
  • Experience with versioning, environment management, and testing frameworks.
  • Experience building time-series and causal models.
  • Familiarity with media attribution and Bayesian modeling.
  • Comfort working in notebook and package development workflows.
  • Experience building reusable plotting and BI utilities such as Looker Studio, Matplotlib, Plotly, and Seaborn.
  • Prior work with SQL, Snowflake, or GCP, ideally including Google Cloud Run.
  • Strong communication skills for explaining model mechanics and code behavior.
  • Advanced spoken and written English required.
  • Experience in marketing science, MMM, or causal measurement is preferred.

Interested in this position?

Apply directly on the company website

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