[Job 23822] Senior Data Scientist

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or higher degree in Computer Science, Data Science, or related field., Proficiency in Python or R and SQL for data analysis and modeling., Experience with machine learning algorithms, feature engineering, and NLP techniques., Strong ability to explore big data, understand mathematical models, and communicate effectively in English..

Key responsibilities:

  • Explore and analyze complex structured and unstructured data sets.
  • Develop and prototype machine learning models using modern tools and techniques.
  • Design, implement, and evaluate machine learning solutions to address business problems.
  • Support pre-sales activities and collaborate with engineering teams to deploy production-ready models.

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Ci&T
5001 - 10000 Employees
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Job description

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 nontrivial business problems in a marketleading company in its segment. This person will mostly work with a mix of structured and unstructured, and use scientific methods and stateoftheart 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 presales in business opportunities and the engineering teams in the implementation of productionready solutions involving machine learning;
Evaluate hypotheses and the impact of machine learning algorithms on key business metrics. Simulations and offlineonline experimentation (via AB 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);

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving

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