[Job - 23822] Senior Data Scientist

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 7.400 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.

We are looking for scientists who are passionate about data and are eager to tackle big challenges using Data Science and Machine Learning. The main focus of this role is to solve non-trivial business problems in a market-leading company in its segment. This person will mostly work with a mix of structured and unstructured, and use scientific methods and state-of-the-art techniques and tools to help our customers achieve their business objectives.

Responsibilities:

- Capture and explore complex data sets (structured and unstructured data);

- Prototype Model of different complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Clouds);

- Design and implementation of machine learning models, metrics and application of feature engineering techniques applied to customers problems;

- Support pre-sales in business opportunities and the engineering teams in the implementation of production-ready solutions involving machine learning;

- Evaluate hypotheses and the impact of machine learning algorithms on key business metrics. Simulations and offline/online experimentation (via A/B tests) is part of the game;

- Research and understand user behavior patterns, such as user engagement and segmentation, using machine learning models, to help test hypotheses;

Required qualifications:

- Ability to understand mathematical models and algorithms in research papers;

- Ability to explore big data without a specific problem defined, in order to come up with the right questions and provide interesting findings;

- Proficient in computer languages like Python or R, and SQL, making use of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment;

- Experience with common feature engineering techniques and machine learning algorithms;

- Experience with Natural Language Processing (NLP and NLU);

- Experience using Generative AI systems;

- Understanding the key concepts on how to apply Generative AI in building RAG solutions (embeddings, dense search);

- Ability to provide creative and innovative approaches to problem solving;

- Ability to work independently and within a collaborative team environment.

- Advanced oral and written communication skills in English;

Desired qualifications:

- Masters or PhD in Machine Learning / Data Mining / Statistics;

- Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG);

- Experience with construction and integration of Knowledge Graphs.

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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. 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.