This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Scientist | Forecasting & Decision Intelligence based in Brazil.
This is a high-impact opportunity for a senior data professional to shape the future of intelligent decision-making through advanced analytics and artificial intelligence.
The role focuses on building and scaling predictive models that transform complex business challenges into actionable recommendations.
You will work at the intersection of Data Science, quantitative modeling, and real-world business strategy.
The position offers the chance to influence products that optimize operations, reduce waste, and improve decision quality for large-scale retail environments.
You will collaborate closely with technical and product teams in a fast-growing, innovation-driven environment.
This role is ideal for someone passionate about solving complex problems and turning data into measurable business impact.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Scientist | Forecasting & Decision Intelligence based in Brazil.
This is a high-impact opportunity for a senior data professional to shape the future of intelligent decision-making through advanced analytics and artificial intelligence.
The role focuses on building and scaling predictive models that transform complex business challenges into actionable recommendations.
You will work at the intersection of Data Science, quantitative modeling, and real-world business strategy.
The position offers the chance to influence products that optimize operations, reduce waste, and improve decision quality for large-scale retail environments.
You will collaborate closely with technical and product teams in a fast-growing, innovation-driven environment.
This role is ideal for someone passionate about solving complex problems and turning data into measurable business impact.
Accountabilities:
- Develop, improve, and scale advanced demand forecasting models to support better planning and management of perishable products.
- Own the full lifecycle of data science projects, including data exploration, feature engineering, model development, validation, deployment, monitoring, and continuous improvement.
- Build intelligent recommendation systems that transform demand predictions into actionable purchasing and operational decisions.
- Translate complex business challenges into robust quantitative models by applying statistical methods, machine learning techniques, and mathematical modeling.
- Ensure model quality, scalability, governance, and performance in production environments using modern data platforms and machine learning ecosystems.
- Collaborate closely with technology and product teams to define priorities and evolve data-driven solutions.
- Contribute to the development of innovative capabilities in analytics, forecasting, and decision intelligence.
- Apply best practices in data science engineering, experimentation, and model lifecycle management.
- Solid experience in Data Science applied to complex business challenges.
- Proven experience developing, improving, and deploying demand forecasting models using time series analysis in production environments.
- Strong knowledge of statistics, probability, quantitative modeling, and linear algebra applied to real-world problems.
- Advanced proficiency in Python for model development, feature engineering, validation, deployment, and production monitoring.
- Experience with Databricks and its ecosystem, including Spark, Delta Lake, Unity Catalog, and machine learning pipelines.
- Advanced English skills for frequent collaboration with international teams.
- Strong analytical mindset with the ability to connect technical solutions with business outcomes.
- Ability to work autonomously in a fast-paced technology environment.
- Experience with Prescriptive Analytics, Decision Intelligence, or decision-support systems.
- Background in Operations Research, Econometrics, Dynamic Systems, or Optimization.
- Experience with forecasting applied to Supply Chain, Demand Planning, Inventory Optimization, or Pricing.
- Previous experience in startups or technology companies with high-growth environments.
- Familiarity with AI agents and LLM-based architectures.
- Opportunity to work on innovative AI and Data Science solutions with direct business impact.
- High-visibility role within a fast-growing technology environment.
- Opportunity to influence the evolution of a proprietary data-driven platform.
- Collaboration with highly technical teams focused on innovation and problem-solving.
- Strong autonomy and ownership over complex projects.
- Continuous learning and professional growth opportunities.
- Dynamic environment with exposure to advanced analytics, machine learning, and artificial intelligence technologies.
As a Lead Data Scientist, you will be responsible for developing advanced forecasting and decision intelligence solutions, ensuring models are reliable, scalable, and effectively applied to business challenges. You will combine technical expertise with strong problem-solving skills to create data-driven solutions that support strategic decisions.
Requirements:
The ideal candidate is an experienced data scientist with strong expertise in predictive modeling, statistics, and machine learning, combined with the ability to solve complex business problems through data-driven approaches.
Preferred qualifications: