Jobs → Data & Analytics → Data Science Engineer

About the Role We are looking for a skilled Data Science Engineer with 4–6 years of experience. This role requires strong expertise in Python, AWS, Statistical Modelling, and Marketing Mix Modelling (MMM). Key Responsibilities • Design and implement data science solutions using Python and AWS • Develop and optimize Marketing Mix Models • Create ETL pipelines for data processing • Utilize statistical modeling techniques for data analysis • Implement MLOps practices for model tracking and versioning • Develop data visualizations using Matplotlib, Seaborn, and Plotly Requirements • 4–6 years of experience in data science engineering • Strong expertise in Python, Pandas, NumPy, and SQL • Experience with EDA, Scikit-learn, and Statistical Modelling • Knowledge of Marketing Mix Modelling, Attribution, and Bayesian MMM • Familiarity with AWS services including SageMaker, S3, DynamoDB, Glue, and Lambda • Experience with MLOps tools like MLflow • Skills in data engineering including ETL Pipelines and PostgreSQL • Proficiency in data visualization tools like Matplotlib, Seaborn, and Plotly • Knowledge of DevOps practices including GitHub, CI/CD, Docker, and Unit & Integration Testing