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.

- 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;

- 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;

- 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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