Senior Data Scientist

What you'll do

• Implement, build, and deploy scalable models and machine learning solutions focusing 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 diverse datasets including image, video, audio, text, and structured performance data
• Analyze large-scale datasets to uncover insights, trends, and opportunities informing product strategy and customer outcomes
• Collaborate with data scientists, senior ML engineers, and software engineers to productionize AI/ML applications robustly and efficiently
• Contribute to team processes including work planning, retrospectives, and overall team improvement
• Impact daily life of hundreds of advertisers using Smartly
• Work with stakeholders across product, engineering, and infrastructure to translate business/product needs into viable solutions
• Enhance soft skills through knowledge sharing, productive meetings, and pair programming/debugging
• Stay updated with latest AI innovations, especially generative AI, computer vision, NLP, and explainability

Requirements

• 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
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Ability to communicate complex technical findings to both technical and non-technical stakeholders
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from office 3 days a week

Tech stack

Benefits