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.