Especialista en Data Science, IA Comercial

This is a fully remote position, open to applicants in United States, +2 more locations.

📋 Description

• Lead the development, implementation, and evolution of advanced analytics solutions, machine learning, predictive models, optimization, and commercial segmentation.

• Convert business, transactional, digital, and market data into actionable insights to enhance commercial execution, asset productivity, profitability, point of sale availability, and customer experience.

• Drive the adoption of generative artificial intelligence and AI agents within the Commercial Transformation team.

• Identify, pilot, and scale use cases for generative AI and AI agents.

• Develop optimization models for commercial assets and prioritize points of sale based on potential, ROI, productivity, turnover, profitability, and market insights.

• Create advanced analytics for commercial assets, including cold equipment, returnable/non-returnable items, sizes, and formats.

• Design customer, channel, and point of sale segmentation algorithms.

• Correlate customer information with digital autonomy, tool adoption, portfolio management, loyalty, commercial productivity, image recognition, and transactional behavior.

• Develop predictive models for demand, expected sales, performance by customer/channel/SKU, and profitable growth opportunities.

• Implement optimization and recommendation models for assortment, coverage, point of sale execution, promotions, availability, and commercial productivity.

• Collaborate with Trade Marketing, Digital, GTM, Commercial, and IT to integrate advanced analytics into existing routines, dashboards, processes, and tools.

• Validate the quality, consistency, and governance of commercial data, ensuring Golden Record, standardized catalogs, business rules, and traceability.

• Document methodologies, assumptions, variables, prioritization criteria, and business rules to ensure scalability, maintenance, and regional adoption.

• Influence the prioritization of initiatives through data-driven technical recommendations; does not manage direct budget or personnel.

⛳️ Requirements

• Bachelor's degree, Engineering, or Master's in Data Science, Statistics, Applied Mathematics, Industrial Engineering, Systems Engineering, Economics, Business Analytics, Artificial Intelligence, or related fields.

• Minimum of 3 to 5 years of experience in data science applied to business, advanced analytics, machine learning, predictive models, optimization, or business analytics; ideally in fast-moving consumer goods, beverages, retail, trade marketing, GTM, or commercial transformation.

• Minimum of 3 to 5 years of proficiency in Python/R, SQL, Power BI, and cloud platforms (Azure/AWS/GCP).

• Experience with SAP, Nielsen/Circana, commercial databases, transactional data, clients, portfolio, and point of sale execution.

• Knowledge of supervised/unsupervised ML, forecasting, optimization models, segmentation, scoring, clustering, and recommendation systems.

• Knowledge and practical experience in generative artificial intelligence, LLMs, and AI agents in Azure (Foundry, Copilot) and Cloud.

• Ability to identify and pilot use cases applied to the commercial business.

• Experience in cold equipment, packaging management, or loyalty programs is desirable.

• Advanced English is preferred.

🏝️ Benefits

• Collaborative and dynamic work environment.

• Continuous professional development and growth opportunities.

• Flexible schedule promoting work–life balance.

• Employees can work remotely.