Data Scientist

Company:
Location: Desde casa

*** Mention DataYoshi when applying ***

About the vacancy

Our client is one of the major ondemand delivery startups in the region. The main task is to deliver anything users order within 30 minutes. Its functionality also includes the ability to conduct monetary transactions, execute orders, deliver parcels, and provide micro-mobility services. The company is building a management platform through which it will standardize their service and customer experience.

The service developed by the client is available in nine regions of Latin America. The project is growing and they are planning to improve the service’s scalability due to them entering new regions.

The project is in the early stages of development. It is going to be a long-term project. The team consists of 20 people (back-end devs, front-end devs, project manager, QA Engineer, Designers, etc.) They use SCRUM methodology.

Responsibilities

  • Develop, build, test and maintain software architectures
  • Align architectures with business needs
  • Data acquisition
  • Develop processes based on datasets
  • Identify ways to improve data confidence, efficiency, and quality
  • Conduct research to respond to business and industry questions
  • Use large datasets to solve business problems
  • Deploy data systems
  • Prepare data for predictive and prescriptive modeling
  • Find hidden patterns using data
  • Use data to discover tasks that can be automated
  • Report news to stakeholders based on data and their analytics

Required Skills and Experience

  • Hands-on experience in the design and implementation of distributed systems architecture
  • Experience in the design and implementation of REST APIs
  • Skills in modeling and data mining
  • Previous experience in the architectural design of databases and data warehousing
  • Experience in the design and implementation of ETLs
  • Knowledge of Unix or Linux operating systems
  • Solid experience in data analytics
  • Monitoring and debugging. Self-contained environments
  • Experience with cloud infrastructure (preferably AWS)
  • Experience with big data
  • Experience with Python

Additional Competencies

  • Experience with Java or Scala
  • Experience with SQL
  • Experience with Spark or similar
  • Experience with Airflow or similar
  • Experience in Data Streaming Platform
  • Experience with Machine Learning models
  • Experience with Kubernetes
  • Experience with AWS
  • Experience with Snowflake, Postgres, Redshift, Kafka, or Kinesis

Learn more about our policy of equal opportunities in employment

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Primero y ante todo, las personas

Las relaciones con los clientes y entre colegas se basan en el respeto mutuo, a pesar de nuestras diferencias

Profesionalismo

Capacidad para desarrollar tu potencial en DataArt.

Flexibilidad

Libertad para explorar oportunidades y obtener nuevas experiencias y conocimientos.

Confianza

La capacidad de contar unos con otros y la voluntad de confiar en las personas son elementos fundamentales de las relaciones en DataArt.

*** Mention DataYoshi when applying ***

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