In this role, you will work with Patterns Data Science team to build machine learning systems that optimize advertising performance across e-commerce and social commerce platforms. You will apply statistical techniques and machine learning models to large datasets, helping improve bidding, ranking, pacing, and overall campaign performance. This role requires a strong production mindset and close collaboration with engineering teams to deploy scalable models that power millions of predictions daily.

What will you do :

- Design, build, deploy, and maintain machine learning models for advertising use cases such as bidding, ranking, pacing, and campaign optimization.

- Own the end-to-end ML lifecycle, including data preparation, model training, evaluation, deployment, and monitoring.

- Partner closely with engineering teams to productionize models and ensure reliable, scalable deployments.

- Design and analyze experiments (A/B tests) and clearly communicate results to stakeholders.

- Perform root-cause analysis on model behavior and implement improvements to ensure model stability and performance.

- Develop new features and enhance model training and inference pipelines.

- Analyze large datasets to generate insights that inform advertising strategies and product decisions.

- Collaborate with cross-regional teams across the US, UK, Europe, and India to drive knowledge sharing and innovation.

- Contribute to MLOps efforts to improve model deployment, monitoring, and operational efficiency.

What are we looking for :

- Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field.

- 3+ years of industry experience building and deploying machine learning systems in

production.

- Strong programming and data manipulation skills in Python and SQL with hands-on

experience using libraries such as Pandas, Polars, NumPy, Scikit-Learn, XGBoost, and CatBoost.

- Solid understanding of machine learning techniques such as linear models and tree-based

models, along with model evaluation methodologies.

- Strong analytical and problem-solving skills with the ability to work with large and complex datasets.

- Experience with Git, AWS, Docker, and Airflow is a plus.

- Familiarity with advertising, e-commerce, or social commerce concepts such as auction theory, budget pacing, and search ranking is an added advantage.

- An active Kaggle or GitHub profile showcasing relevant projects is a plus.