Hybrid Senior Data and Applied Scientist

at Pattern Bioscience

• Job title: Senior Data and Applied Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Docker, Numpy, Pandas, Python, Scikit-Learn, SQL
• Location requirements: Hybrid, Pune, India

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.