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Open nowPosted 108 days ago

Cientista de Dados Sênior

grupocriatto24 open roles

Where
Curitiba, PR, BR
Work mode
On site
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Your applicationOpen nowCientista de Dados Sêniorgrupocriatto · Curitiba, PR, BR

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on grupocriatto's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. grupocriatto postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 108 days ago

grupocriatto median: 2 days open

The posting

O Grupo Criatto é uma consultoria de Recrutamento e Seleção especializada em tecnologia, atuando com grandes clientes no Brasil e nos Estados Unidos.

Esta oportunidade é para atuação em um de nossos clientes, que vive um forte momento de expansão, com diversas novas vagas abertas.

Você é apaixonado por transformar dados em soluções inteligentes e gerar impacto real nos negócios por meio de Inteligência Artificial?

Estamos em busca de um(a) Cientista de Dados Sênior para atuar em um projeto estratégico, desenvolvendo soluções avançadas de Analytics, Machine Learning e IA Generativa.

Formação:

Ensino Superior completo em Engenharia, Tecnologia da Informação, Ciência da Computação, Sistemas de Informação, Estatística ou áreas correlatas; Também serão aceitos profissionais com Mestrado em Matemática, Estatística, Mineração de Dados ou Ciência de Dados; Ou Doutorado em áreas de Exatas.

Experiência:

Experiência em projetos de Machine Learning, Inteligência Artificial ou Ciência de Dados; Experiência prática com Teradata, dbt e Apache Airflow.

Conhecimentos técnicos:

- Linguagens e Banco de Dados - Python; - SQL avançado; - Shell Script; - SGBDs relacionais e não relacionais; - Teradata. - Engenharia de Dados - Desenvolvimento e orquestração de pipelines de dados; - Integração de dados via APIs; - dbt; - Apache Airflow; - Data Profiling; - Data Cleansing; - Elastic Search; - Modelagem e arquitetura de dados. - Ciência de Dados e Estatística - Estatística aplicada; - Análise descritiva, inferencial, preditiva e prescritiva; - Regressão; - Associação; - Causalidade; - Forecasting; - Séries Temporais; - Detecção de anomalias; - Redução de dimensionalidade; - Validação estatística de datasets. - Machine Learning e Inteligência Artificial - Machine Learning; - Deep Learning; - Clustering; - Classificação; - Árvores de decisão; - Ensemble Learning e Boosting; - Redes Neurais; - Redes Neurais Profundas; - Processamento de Linguagem Natural (NLP); - T-ext Mining.

IA Generativa:

- Large Language Models (LLMs); - Transformers; - Attention Mechanism; - Fine-tuning; - Prompt Engineering; - Retrieval-Augmented Generation (RAG).

Frameworks e Ferramentas

- TensorFlow; - PyTorch; - Keras; - Ferramentas de BI e Analytics; - Ferramentas de Ciência de Dados e Machine Learning; - Metodologias Ágeis.

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  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on grupocriatto's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    grupocriatto's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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