Data Scientist creating impactful solutions by applying data-driven techniques at Riachuelo. Collaborating on models and technical decisions to enhance business objectives.
Responsibilities
Understand clients' pain points and translate them into technical solutions that deliver incremental value.
Develop mathematical models.
Apply Machine Learning, Optimization, and Statistical Inference techniques to solve business problems.
Define corporate standards.
Create reusable solutions and promote best practices across the company.
Serve as a technical reference.
Act as a subject-matter expert, mentor colleagues, and support stakeholder decision-making.
Executive presentations — Communicate results clearly and effectively to executive audiences.
Requirements
Bachelor's degree (or higher) in Statistics, Mathematics, Computer Science, Engineering, Physics, Economics, or related fields.
Technical knowledge:
Machine Learning and Statistical Inference (advanced).
Optimization, Mathematical Programming, and Decision-Making under Uncertainty (advanced).
Translating business problems into data-driven hypotheses (advanced).
Programming in Python (advanced).
Ability to handle large volumes of data (advanced).
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