Data Scientist

3 weeks ago

Makati City, National Capital Region, Philippines Globant Full time

Globant Makati, National Capital Region, Philippines

We are seeking a highly skilled and passionate Data Scientist to join our dynamic team in the Philippines. This role will apply your specialist skills to design, build, and deploy high-quality data solutions that enable smarter, data-driven decisions across the business.

This hands-on role will involve working across a variety of modern data technologies including cloud-native data platforms (GCP, Azure), machine learning model deployment, data pipelines (ETL/ELT), master data and governance tools, and analytics/visualisation platforms. You will collaborate closely with other engineers, analysts, architects, and business stakeholders to deliver mission-critical solutions.

Key Responsibilities

  • Work with team members and business SMEs to understand business problems, opportunities, data requirements, and technical needs
  • Build and deploy back-end software services, data applications/services, and APIs
  • Design, implement, and support data pipelines and integrations on cloud platforms
  • Productionise machine learning models in collaboration with Data Scientists and ML Engineers
  • Document key components and share knowledge across squads and chapters
  • Ensure compliance with data governance, privacy, security, and technology standards
  • Collaborate effectively with cross-functional squads and attend agile ceremonies (e.g., stand-ups, sprint planning)
  • Support infrastructure deployment using DevOps practices and infrastructure as code
  • Provide third-level support and participate in the change management process when required
  • Assist with operational handover to support teams for newly developed solutions

What Will Help You Succeed

  • A Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
  • 5+ years of experience in Data Engineering or a similar role
  • Solid backend development experience, particularly with Python and APIs
  • Proven ability to build and maintain cloud data pipelines (on GCP, Azure, or AWS)
  • Experience with distributed computing frameworks like Apache Spark
  • Strong working knowledge of Python, PySpark, and SQL
  • Good understanding of databases and data structures (both relational and non-relational)
  • Experience working in Agile teams and sprint-based environments
  • Familiarity with DevOps, CI/CD, and infrastructure as code practices
  • Experience with object-oriented programming, unit testing, and test-driven development (TDD)
  • Experience with Google Cloud Platform (GCP) and/or Azure Databricks
  • Familiarity with secure coding practices and handling PII data
  • Experience working with both structured and unstructured data
  • Exposure to retail datasets, including in-store and eCommerce data
  • Understanding of data science workflows and experience productionising ML models
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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