Data Scientist
San José, San José Province, Costa Rica
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VML
At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon more than 300 years of combined experience and expertise, where creativity meets technology, and ...Who We Are:
At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.
Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work.
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.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and X.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure CI/CD CX Docker GCP Kubernetes Machine Learning ML models MLOps Pipelines Privacy Python R Snowflake
Perks/benefits: Career development
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