Power Digital Marketing

Marketing Science Product Engineer

Power Digital Marketing

full-time

Posted on:

Location Type: Remote

Location: Colombia

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Tech Stack

CloudGoogle Cloud PlatformNumpyPandasPythonSQL

About the role

  • As a Marketing Science Product Engineer, you’ll work at the intersection of data science and engineering, transforming our MMM & causal frameworks into production-ready Python utilities used across teams and our UI environments.
  • You will partner closely with the Director of Marketing Science - Product, marketing scientists, and engineering collaborators to turn statistical specifications into scalable, maintainable code.
  • All decisions related to product scope, methodology changes, metrics definitions, acceptance criteria, and rollout timing remain with Product Leadership.
  • The role is expected to surface risks, ambiguities, or improvement opportunities, but not to independently redefine specifications.
  • Implement MMM modules such as: Sequential Cross-Validation (SCV) utilities, Halo/cannibalization & revenue allocation logic, Parameter QC to detect overfitting, shrinkage misuse, leakage, etc.
  • Scenario Planning engine, Science and Engineering for out-of-the-box attribution based on MMM variations.
  • Convert notebook based workflows into reusable and tested Python modules.
  • Build functions to automate Meridian pipelines.
  • Build statistical utilities for: Diminishing-return and saturation curves, Efficiency quadrants & spend allocation plots, Posterior diagnostic visualizations and stability checks.
  • Develop, automate and maintain: Metadata schemas for MMM model registry, Versioning utilities and standardized logs, Data audit & EDA standardization modules.

Requirements

  • 5 years in data science, data engineering and machine learning engineering.
  • Very strong proficiency in Python, including:
  • Modular package design & clean function architecture
  • Pandas, NumPy, SciPy, serialization, project organization
  • Versioning, environment management, testing frameworks
  • Experience building time-series and causal models.
  • Familiarity with Media Attribution and Bayesian modeling.
  • Comfortable working in notebook + 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 with Google Cloud Run.
  • Strong communication skills for explaining model mechanics and code behavior.
Benefits
  • Power Digital’s people and culture are at the core of our success, which is why diversity in our team’s backgrounds and experiences are paramount.
  • We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who strive to make an impact inside and outside of the workplace.
  • Please be aware of fictitious job openings, consulting engagements, solicitations, or employment offers from suspicious sources.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonModular package designFunction architecturePandasNumPySciPyTime-series modelsCausal modelsMedia AttributionBayesian modeling
Soft skills
Strong communication skills