Data scientist pleno

NetVagas; Brasil; Teletrabalho; BRL 60.000 - 120.000; Tempo integral

Resumo da oferta

Uma empresa inovadora está em busca de um Cientista de Dados experiente para se juntar à sua equipe. Esta função remota oferece uma oportunidade empolgante de trabalhar com algoritmos de aprendizado de máquina e deep learning, aplicando técnicas avançadas para otimização de portfólio e personalização em um ambiente dinâmico. O candidato ideal terá a chance de colaborar com equipes multifuncionais, utilizando plataformas de nuvem para processar grandes volumes de dados e impulsionar a inovação. Se você é apaixonado por dados e deseja fazer parte de um projeto que impacta diretamente o comportamento do consumidor, esta é a sua chance de brilhar.

Serviços

Bônus baseado em desempenho

Bônus de presença

Plano de previdência privada

Vale refeição

Código de vestimenta casual

Dias de folga

Seguro saúde, dental e de vida

Descontos em medicamentos

Parceria Wellhub

Subsídios para cuidados infantis

Qualificações

• Experiência em machine learning e deep learning é essencial.
• Proficiente em Python/PySpark e ferramentas de automação.
• Experiência com plataformas de nuvem como Azure e Databricks.

Responsabilidades

• Colaborar na análise de conjuntos de dados complexos e implementar algoritmos de aprendizado de máquina.
• Utilizar plataformas em nuvem para processar e analisar grandes conjuntos de dados.
• Trabalhar em equipe com engenheiros de dados e gerentes de produto.

Conhecimentos

Machine Learning

Deep Learning

Python/PySpark

Data Analysis

Cloud Platforms (Azure, Databricks, Spark)

CI/CD (GitHub)

E-commerce Analytics

Automation Workflows

Formação académica

Bachelor's degree in Computer Science, Engineering, Mathematics, or Quantitative Field

Master's degree

Ferramentas

TensorFlow

PyTorch

Google Analytics

Segment

Descrição da oferta de emprego

Share People Hub in partnership with ABI Growth Group | AB Inbev, search for a Data Scientist to work remotely.

About AB InBev

AB InBev is the leading global brewer and one of the world's top 5 consumer product companies. With over 500 beer brands, we are number one or two in many of the world's top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About ABI Growth Group

ABI's Growth Division is the center of innovation and tech development within ABI, which is driving ABI's growth by developing innovations for the core beer business and creating new hyper-growth tech businesses. ABI Growth includes the following business lines: BEES (our business-to-business e-commerce and SaaS business, also focused on new technologies), TaDa and Ze Delivery (our direct-to-consumer e-commerce businesses), and several other high-tech divisions, including fintech and venture capital.

This role will be largely dedicated to Ze Delivery. We believe that everyone deserves to celebrate wherever, however, and whenever they want, and in pursuit of this purpose, Zé Delivery has grown, evolved, and expanded its operations in the beverage market, incorporating different business units of the Direct to Consumer ecosystem, such as Empório da Cerveja and Chopp Brahma Express, thus becoming the platform for Ambev consumers.

About the Role

Ze Delivery is seeking an experienced data scientist 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, promotions, 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 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, promotions, 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

Equal Opportunity & Affirmative Action:

We are 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.