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 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 analyticsImprove forecast accuracy, pricing decisions, and promotional ROI measurementReduce manual work through automated Python pipelines and reusable frameworksEnsure analytical outputs are reliable, reproducible, and trustedAccelerate analytical workflows using AI tools (ChatGPT, Claude)Contribute to the development of the company's Revenue Data LakeResponsibilities Build and maintain statistical and machine learning models (forecasting, elasticity, incrementality, segmentation)Develop and maintain Python data pipelines connecting ERP, retail portals, and internal systemsDesign and execute A/B tests and quasi-experiments with statistical rigorPerform data validation, model validation, and quality checks before stakeholder useBuild and maintain Power BI dashboards with advanced data modelsCollaborate with strategy and commercial teams on data-driven projectsLeverage AI tools to improve speed and quality of analysisDocument models and pipelines to ensure reproducibility and scalabilityExperience 2–4 years in data science, quantitative analytics, or similar rolesHands-on experience building models used in real business environmentsExperience in CPG, retail, eCommerce, or marketplaces is a strong plusSkills 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 sourcesPower BI (intermediate to advanced)Strong problem-solving and structured thinkingLanguage & Location Professional English requiredBased in Guadalajara or willing to relocateNice to Have Experience with PySpark, Databricks, or Microsoft FabricMLOps basics and version control (Git)Experience with APIs (Airflow, dbt)Experience in consulting or advanced analytics teamsExposure to Bayesian methods or advanced experimentationReady to take flight?#J-18808-Ljbffr