Senior Data Scientist , Brazil

CI&T; Brasil; Presencial; BRL 167 400 - 267 840; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Meal and food allowance

Continuous learning platform (CI&T University)

Resumo da oferta

CI&T is looking for a Senior Data Scientist to drive Machine Learning initiatives for a global retail client. Responsibilities include leading the development of analytics solutions, collaborating with teams, and enhancing model performance. The ideal candidate will have strong data science expertise, solid knowledge of Python or R, and experience with production environments.

This role offers various benefits, including health insurance, childcare assistance, and a continuous learning platform. Inclusion and support for persons with disabilities are also prioritized.

Qualificações

• Strong experience in Data Science or Machine Learning.
• Proficiency in Python or R with ML libraries.
• Solid knowledge of statistical modeling and data analysis.

Responsabilidades

• Lead Machine Learning initiatives from opportunity identification.
• Design and develop Machine Learning models.
• Present results to stakeholders and define success metrics.

Conhecimentos

Data Science

Machine Learning

Python

R

Statistical modeling

SQL

Ferramentas

AWS

Azure

GCP

Descrição da oferta de emprego

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 considered. Only Fluent English - C1 or higher speakers will be considered.

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

Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit Sharing and Results Participation (PLR)
• Life insurance
• Continuous learning platform (CI&T University)
• Discount club
• Free online platform dedicated to physical, mental, and overall well-being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms
• Language learning platform

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. We have a dedicated Health and Well‑being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.