Senior Data Scientist – Pricing & Revenue Analytics We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve. Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: As a Senior Data Scientist – Pricing & Revenue Analytics, you will develop advanced statistical and machine learning models to support pricing strategies, demand forecasting, and revenue growth optimization. You will transform complex data and analytical insights into actionable business recommendations, helping stakeholders make informed commercial decisions.

Key Responsibilities
• Design, develop, and deploy predictive and forecasting models to support pricing strategies and revenue optimization.
• Apply statistical modeling, econometrics, and machine learning techniques to analyze demand patterns, price elasticity, and consumer behavior.
• Conduct exploratory data analysis, hypothesis testing, and experimental evaluation to identify business opportunities and validate analytical results.
• Build pricing scenarios, optimization models, and sensitivity analyses to support strategic commercial decisions.
• Translate complex analytical findings into clear,



actionable insights for business stakeholders. Must-have Skills
• 5+ years of experience in Data Science, Advanced Analytics, or Statistical Modeling.
• Strong experience with Python and SQL for data analysis, statistical modeling, and machine learning.
• Hands-on experience with Pricing, Econometrics, Price Elasticity, or Revenue Growth Management (RGM).
• Strong knowledge of Time Series Analysis, Demand Forecasting, and Predictive Modeling.
• Experience building, validating, and deploying machine learning or statistical models into production environments.
• Experience with Databricks and Spark for large-scale data processing.
• Upper-intermediate to advanced English proficiency (B2+). Nice-to-have:
• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
• Experience with MLflow for model tracking and lifecycle management.
• Knowledge of mathematical optimization, scenario modeling, and sensitivity analysis.
• Experience working in Retail, FMCG, CPG, E-commerce, or other consumer-driven industries.

What we offer
• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• General Opportunities
• Vibrant Community
• Total Rewards Specific benefits are determined by the employment type and location. Find out more about our culture here

📌 Senior Data Scientist – Pricing (México)
🏢 Wizeline
📍 México