Vaga de parceiro

Data Scientist (Genai) - Campinas / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • With over 6,500 CI&Ters around the world, weve built partnerships with more than 1,000 clients during our 30 years of history.
  • Artificial Intelligence is our reality.
  • General Description: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 Fortune 500 companies.
  • This person will mostly work with a mix of structured and unstructured data, using scientific methods and state-of-the-art techniques and tools to help our customers achieve their business objectives.
  • 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 (Notebooks, Clouds).
  • Design and implement machine learning models, metrics, and apply feature engineering techniques to customer problems.
  • Support pre-sales in business opportunities and 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.
  • Required qualifications:Bachelors 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 implement them into running software for Proof-of-Concepts and projects.
  • Ability to explore big data without a specific problem defined, to come up with the right questions and provide interesting findings.
  • Ability to provide visibility of the progress of tasks to the team by means of small deliverables.
  • Proficient in computer languages like Python or R, and SQL, utilizing the best frameworks for machine learning pipelines, data visualization, manipulation, model training and evaluation, and model deployment.
  • Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning, such as Regression, Classification, Clustering, Dimensionality Reduction, Association Rules, Ranking, and Recommender Systems.
  • Experience with Natural Language Processing (NLP and NLU).
  • Experience using Generative AI systems (e.
  • G.
  • , ChatGPT) and best practices (e.
  • G.
  • , Prompt Engineering).
  • Understanding of 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 (e.
  • G.
  • , RAG and GraphRAG).
  • Experience with construction and integration of Knowledge Graphs.
  • Collaboration is our superpower, diversity unites us, and excellence is our standard.
  • We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
  • We encourage applications from diverse and underrepresented groups to our job positions.
  • #J-18808-Ljbffr

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  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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