Job Title:
Data Scientist
Description:
We are looking for scientists who are passionate about data and are eager to tackle big challenges using Data Science and Machine Learning.
Main Responsibilities:
* Understand complex business problems and translate them into structured data problems.
* Capture and explore complex data sets (structured and unstructured data).
* Prototype models of different complexity (business analysis, statistical models, machine learning) using modern data science tools.
* Design and implement machine learning models, metrics, and apply feature engineering techniques to customer 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.
* Conduct simulations and offline/online experimentation (via A/B tests).
* Research and understand user behavior patterns, such as user engagement and segmentation, using machine learning models to help test hypotheses.
* Communicate findings effectively to an audience of engineers and executives.
Requirements:
* Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas.
* Advanced oral and written communication skills in English.
* Ability to understand mathematical models and algorithms in research papers and to implement them into running software for Proof-of-Concepts and projects.
* 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 for Supervised and Unsupervised Learning, like Regression, Classification, Clustering, Dimensionality Reduction, Association Rules, Ranking and Recommender Systems.
* Experience with Natural Language Processing (NLP and NLU).
* Experience using Generative AI systems and best practices.
* Understanding the key concepts on how to apply Generative AI in building RAG solutions (embeddings, dense search).
* Business sense and consulting behavior to identify and breakdown problems, define and evaluate hypotheses.
* Think critically and act in a detail-oriented fashion while keeping the 'big picture' in mind.
* Ability to provide creative and innovative approaches to problem solving.
* Ability to work independently and within a collaborative team environment.
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.
* Experience with construction and integration of Knowledge Graphs.
Benefits:
* Health and dental insurance.
* Meal and food allowance.
* Extended paternity leave.
* Wellhub (Gympass).
* TotalPass.
* Life insurance.
* 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.