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[Job-29597] Senior Data Scientist , Brazil

Roles & Responsibilities

  • 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.

Requirements:

  • Understand business challenges and translate them into analytical and technical hypotheses.
  • Perform exploratory data analysis (EDA) and validate hypotheses.
  • Present results and recommendations to business stakeholders and leadership teams.
  • Translate technical outcomes into measurable business impact.

Job description

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

==> 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.
 
 
 
#LI-LL1
Our 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
And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

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. See which data needs to be included in the report by clicking here.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.

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