Vaga de parceiro

Senior Data Scientist | BEES Personalization - São Paulo / 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

  • Making their lives easier and their businesses more profitable.
  • Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers and the companies that service them, unlocking new growth opportunities for all.
  • With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.
  • The Team: BEES is the team driving AI strategy at BEES by building end-to-end products to serve our teams, customers, and partners across the globe.
  • The organization is a cross-functional blend of AI/ML teams from Applied Research and Machine Learning Engineering to Machine Learning Platform Product Management.
  • Together the team is responsible for building the tools and products needed to deliver world class AI/ML capabilities.
  • As a member of BEES Applied Science team, you will develop solutions for challenging business problems in areas such as portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
  • The ideal candidate should hold a bachelor's degree in any quantitative field; strong mastery of frontier algorithms in machine and deep learning; plus working knowledge of cloud platforms (Azure, Databricks) for ML applications.
  • Proficiency in Python/PySpark programming, collaboration tools, and working knowledge of CI/CD tools like GitHub is required.
  • Knowledge of workflows for automation is also required.
  • What you will 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.
  • Qualifications Bachelor's degree in computer science, engineering, mathematics, or any quantitative field.
  • A master's 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.
  • What We Offer: Performance based bonus* Attendance Bonus* Casual office and dress code Days off* Health, dental, and life insurance Discounts on Ambev products* School materials assurance Language and training platforms Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer.
  • We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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