About the Company

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 adecuado 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

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?

📌 Revenue Data and Business Sr. Analyst (Guadalajara)
🏢 Birdman
📍 Guadalajara