About the Company
Se pueden requerir diversas habilidades interpersonales y experiencia para el siguiente puesto. Por favor, asegúrese de consultar la descripción a continuación con atención.
At Birdman, we are building one of the fastest-growing plant-based brands.
Our mission is to make healthy, sustainable, and high-performance nutrition accessible through products that are better for people and the planet.
As we scale across channels, markets, and geographies, we are building a stronger
data and analytics foundation
to support better, faster, and more reliable business decisions.
The Role
We are looking for a
Data Scientist
to join our
Revenue Growth Management team .
This is a highly technical, high-impact role focused on building the
statistical and machine learning foundation behind commercial decision-making .
You will work on problems such as
demand forecasting, pricing, promotional effectiveness, and customer segmentation, translating business questions into analytical models and model outputs into business insights.
This role is ideal for someone who is hands-on with data, comfortable working end-to-end (from pipelines to models to insights), and motivated to raise the analytical standard of the business.
Impact & Ownership
Build and scale the
statistical and ML foundation
for revenue analytics
Improve
forecast accuracy, pricing decisions, and promotional ROI measurement
Reduce manual work through
automated Python pipelines and reusable frameworks
Ensure analytical outputs are
reliable, reproducible, and trusted
Accelerate analytical workflows using
AI tools (ChatGPT, Claude)
Contribute to the development of the company’s
Revenue Data Lake
Responsibilities
Build and maintain
statistical and machine learning models
(forecasting, elasticity, incrementality, segmentation)
Develop and maintain
Python data pipelines
connecting ERP, retail portals, and internal systems
Design and execute
A/B tests and quasi-experiments
with statistical rigor
Perform
data validation, model validation, and quality checks
before stakeholder use
Build and maintain
Power BI dashboards
with advanced data models
Collaborate with strategy and commercial teams on
data-driven projects
Leverage AI tools to improve speed and quality of analysis
Document models and pipelines to ensure
reproducibility and scalability
Experience
2–4 years in data science, quantitative analytics, or similar roles
Hands-on experience building models used in real business environments
Experience in CPG, retail, eCommerce, or marketplaces is a strong plus
Skills
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Advanced Python (pandas, numpy, scikit-learn, statsmodels)
Advanced SQL (CTEs, window functions, optimization)
Strong statistical foundation (regression, time series, hypothesis testing, causal inference)
Machine learning experience (classification, clustering, gradient boosting)
Experience building data pipelines and working with multiple data sources
Power BI (intermediate to advanced)
Strong problem-solving and structured thinking
Language & Location
Professional English required
Based in Guadalajara or willing to relocate
Nice to Have
Experience with PySpark, Databricks, or Microsoft Fabric
MLOps basics and version control (Git)
Experience with APIs (Airflow, dbt)
Experience in consulting or advanced analytics teams
Exposure to Bayesian methods or advanced experimentation
Ready to take flight?
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