Responsibilities

• Design analyze and troubleshoot controlled experiments Causal AB tests Multivariate tests to validate your solutions and measure their effectiveness.
• Create algorithms for optimizing consumer journeys and increasing conversion and monetization.
• Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
• Collaborate with cross-functional teams in Marketing Product Sales to ensure your solutions align with strategic objectives and deliver real-world impact.
• Engineered and maintained large-scale consumer behavioral feature stores while ensuring scalability and performance.

Qualifications/Skills

• Bachelor's degree in Computer Science, Information Technology, or related field.
  
• Experience with various ML techniques and frameworks eg data discretization normalization sampling linear regression decision trees deep neural networks etc.
• Experience in building industry-standard recommender systems and pricing models.
• Proficiency in using casual inference uplift modeling splines support vector machines lookalike modeling model stacking ensembles embedding based modeling etc.
• Proficient in Python, SQL intermediate data engineering skill set with tools libraries or frameworks such as PySpark, Hadoop Hive, and Big Data technologies scikitlearn pandas numpy , PyTorch etc.
• Experience in MLOps ML Engineering and Solution Design.

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