Vaga de parceiro

Data scientist vagas exclusivas para pcd - Brasília / DF

Disponível para Assinantes
Salvar nos Favoritos
  • Compartilhe:

Detalhes da Vaga

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

O que você irá fazer

  • This position is exclusively for people with disabilities (PwD).
  • About the Role A global company is seeking an experienced data analyst to support the consumer behavior tracking project.
  • Prior experience with tracking tools such as Segment and Google Analytics on e-commerce companies is needed.
  • In addition, the ideal candidate will have experience working with end-to-end implementation projects and dealing with product development teams.
  • What you'll do Collaborate with team members to analyze complex datasets, develop and implement cutting-edge machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
  • Stay up to date with the latest advancements in machine learning and deep learning algorithms, ensuring a strong technical foundation to solve complex business problems.
  • Apply frontier algorithms to drive innovation across the team's projects.
  • Utilize cloud platforms like Azure, Databricks, and Spark to efficiently process and analyze large-scale datasets.
  • Leverage the full potential of these platforms to deliver scalable and performant solutions.
  • Utilize Python/PySpark for data manipulation, analysis, and modeling tasks.
  • Implement automation workflows to streamline processes and enhance productivity using tools and frameworks.
  • Collaborate closely with cross-functional teams, including data engineers, business stakeholders, and product managers, to understand project requirements and deliver high-quality solutions.
  • Embrace an agile development approach to iterate quickly and efficiently.
  • What you'll need Bachelor's degree in computer science, engineering, mathematics, or any quantitative field.
  • A masters degree is a plus.
  • Strong technical skills and deep understanding of frontier algorithms in machine learning and deep learning.
  • Familiarity with techniques for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
  • Proficiency in machine learning frameworks such as TensorFlow or PyTorch.
  • Experience in implementing and deploying models using these frameworks.
  • Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis.
  • Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks.
  • Strong knowledge of relevant libraries and frameworks.
  • Good knowledge of CI/CD tools like GitHub for version control and collaboration.
  • Familiarity with other collaboration tools is a plus.
  • Understanding of workflows and automation tools to streamline processes and enhance efficiency.
  • It's great if you have Experience in optimization.
  • What We Offer: Performance based bonus* Attendance bonus* Private pension plan Meal Allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts Wellhub partnership Childcare subsidies Discounts on Ambev products* Club Ben partnership Scholarship* School materials assurance Language and training platforms Transport allowance *Rules applied This position is exclusively for people with disabilities (PwD).
  • Our client prides itself on being an equal opportunity and affirmative action employer.
  • We do not discriminate based on race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected characteristics.
  • Please remember: Your data will never be used as a criterion for elimination in the selection process.
  • With this information, the company can analyze diversity and reduce biases in the selection process.
  • We want to help change this reality by being an inclusive company.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

Envie esta vaga para um amigo!

 

Cadastro Inicial

Preencha os campos abaixo
  • Ao criar uma conta, você aceita nossa Política de Privacidade e nosso Termo de Adesão
 

Acesse sua Conta

Preencha os campos abaixo

ou acesse com seu provedor
 

Recuperação de Dados de Acesso

Informe seu e-mail cadastrado