[Job-29597] Senior Data Scientist , Brazil

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

==> Only CV in English will be consider

==> Only Fluent English - C1 or higher speakers will be consider

We are looking for a Senior Data Scientist to join a global retail and consumer goods company. This professional will be responsible for leading Machine Learning and Analytics initiatives, from identifying business opportunities to deploying and supporting production-ready solutions.

Key Responsibilities

Discovery & Solution Definition

Understand business challenges and translate them into analytical and technical hypotheses.

Partner with Product Owners and stakeholders to define data and AI products.

Evaluate the most suitable solution consumption model (real-time, batch, dashboards, APIs, or insights).

Support the definition of business rules and requirements for Machine Learning products.

Development & Deployment

Perform exploratory data analysis (EDA) and validate hypotheses.

Design and develop Machine Learning models and experimentation pipelines.

Define data architecture, algorithms, and product evolution roadmaps.

Implement, test, optimize, and review model and pipeline code.

Establish deployment, orchestration, and monitoring processes for production models.

Support solution maintenance and continuous product improvement.

Communication & Results Management

Present results and recommendations to business stakeholders and leadership teams.

Define success metrics, benchmarks, and performance indicators.

Gather and incorporate stakeholder feedback to continuously improve solutions.

Technical Leadership

Lead technical discussions and prioritize initiatives.

Mentor data scientists and support the team's technical development.

Promote best practices in development, governance, and documentation.

Business Partnership

Translate technical outcomes into measurable business impact.

Collaborate closely with Product, Engineering, Operations, and Commercial teams.

Stay current with market trends, innovation, and emerging technologies applicable to the business.

Requirements

Must-Have Qualifications

Strong experience in Data Science, Machine Learning, or related fields.

Strong proficiency in Python or R and Machine Learning libraries/frameworks.

Solid knowledge of statistical modeling, experimentation, and data analysis.

Experience developing and deploying Machine Learning models into production environments.

Hands-on experience with cloud platforms such as AWS, Azure, or GCP.

MLOps concepts and model monitoring, version control, and pipeline orchestration.

Strong SQL skills and experience working with large-scale datasets.

Excellent communication skills, with the ability to interact effectively with both technical and business stakeholders.

Analytical mindset, consultative approach, and results-oriented attitude.

Nice-to-Have Qualifications

Experience with Databricks, MLflow, Lakehouse architectures, or similar platforms.

Knowledge of Generative AI, Large Language Models (LLMs), and RAG architectures.

Experience in retail, consumer goods, or other large-scale data-driven environments.

Previous experience providing technical leadership and mentoring team members.

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