Senior Data Scientist

About the role

We are looking for a Senior Data Scientist to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows. You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for Data Science and the marketing space, this team is for you!

As a Senior Data Scientist, you’ll:

- Implement, build, and deploy scalable models and machine learning solutions that enable our users to craft great advertising experiences and campaigns with a focus on maintainability, observability, scalability and stability.

- Own projects end-to-end: from problem framing and data exploration to modeling, validation, and monitoring in production.

- Work with a large span of datasets from image to video to audio to text to structured performance data.

- Analyze large-scale datasets to uncover insights, trends, and opportunities that inform product strategy and customer outcomes.

- You’ll work alongside our stellar data scientists, senior machine learning engineers, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.

- Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.

- Impact the daily life of the staff of the hundreds of advertisers using Smartly

- Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must.

- Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.

- Keep up to date with the latest AI innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

- 5+ years of experience in data science or applied machine learning

- 2+ years of experience working with cloud infrastructure such as AWS or GCP

- Strong foundation in linear algebra, statistics, and calculus

- Fluent in Python; experience with C++ or Java is a plus

- Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)

- Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)

- Experience in feature engineering, model design, evaluation, diagnostics, and monitoring