ML
Postdoctoral Research Fellow in quantum technologies at MERL, shaping research agendas and publishing high - impact articles. Collaborative role with potential transition to full - time research staff.
About the role
- Data Scientist collaborating with teams to optimize machine learning for advertising. Building and deploying models for campaign performance across e-commerce and social commerce platforms.
Responsibilities
- 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.
Requirements
- Bachelor’s or Master’s 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.
Job title
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