Data Scientist (located in Costa Rica)

San José
Permanente
Tiempo completo

Hace 22 días

What we are looking for:We're seeking a Data Scientist to help deliver machine learning initiatives across our broad client base. This role is focused on the development and deployment of machine learning and AI models. The ideal candidate will have a strong foundation in data science and modeling, with a specific passion for deploying and scaling machine learning models in the cloud. You will be a key member of the VML Data Science team, working with experienced data scientists and engineers to build the next generation of our data-driven solutions.What you'll do:

Work: You will be hands-on with our cloud platforms, not just exploring complex datasets, but also designing, building, and deploying the machine learning pipelines that power our marketing strategies.
People: Collaborate effectively in a team setting with data scientists, engineers, and business stakeholders, and be able to work independently to drive your projects forward.
Process: You will be deeply involved in the entire machine learning lifecycle, from data ingestion and model development to deployment, monitoring, and optimization. A strong technical aptitude and a detail-oriented approach are critical for success.

Who you are:

Work: You are excited by the challenge of solving machine learning challenges and not just building them, but architecting them in a multitude of client owned technology stacks. You will be at the forefront of optimizing our models for performance and scalability in the cloud.
People: You are a strong communicator who can work effectively with a diverse team of technical and non-technical colleagues.
Process: You have a robust technical background in model development and a keen interest in the operational side of machine learning, including automated deployment, monitoring, and governance.

What you'll need:

Experience with modeling tools in Python or R is required.
Proven experience with a major cloud platform (GCP, AWS, Azure, Snowflake), including services relevant to data science and machine learning.
Hands-on experience in designing and implementing enterprise level ML and AI models to a cloud-based Python architecture.
Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes).
A solid understanding of MLOps principles, including CI/CD for machine learning, model versioning, inference, and performance monitoring.
The ability to perform rigorous data validation, quality control, and analysis to ensure the integrity of our models.
A talent for collaborating with business leaders and subject matter experts to define success and drive the continuous improvement of our data products.

VML

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