Senior Data Science Engineer (ML)

TL;DR

Senior Data Science Engineer (ML): Designing and building clean data warehouses and data processing pipelines with an accent on machine learning model deployment and dimensional data modeling. Focus on optimizing data transformations using DBT and Snowflake to ensure highly available and reliable services.

Location: Remote (Argentina)

Company

hirify.global is a global technology company providing digital product engineering and innovation for leading brands across automotive, commerce, healthcare, and media sectors.

What you will do

• Design and build clean data warehouses and scalable data processing systems.
• Lead the end-to-end development process of machine learning models, from component design to user story completion.
• Conduct requirement analysis, planning, and testing to deliver well-architected data solutions.
• Collaborate with product managers using agile methodologies to ensure timely delivery of high-quality features.
• Partner with operations teams to maintain highly available and reliable applications and services.
• Optimize engineering performance, focusing on network utilization and resource impact.

Requirements

• Must be based in Argentina.
• 2-3 years of experience in developing and deploying machine learning models.
• Advanced proficiency in Python.
• Intermediate or greater experience with SQL or Spark.
• Hands-on experience with Snowflake or similar data warehouse technologies.
• Proven expertise in building dimensional data models and utilizing DBT for data transformation and testing.

Culture & Benefits

• Personalized career path planning with dedicated training, mentoring, and professional support.
• Unlimited access to Udemy, internal courses, and a robust mentorship program.
• Access to professional hubs for knowledge sharing and tracking latest technology trends.
• Inclusive culture fostering connection and visibility across a global remote workforce.