Senior Data Scientist
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• Lead end-to-end development of Marketing Mix Models (MMM), from data preparation to model building, validation, and business recommendations.
• Design and implement econometric/statistical models (regression, Bayesian methods, time series, hierarchical modeling) to measure and forecast marketing ROI.
• Collaborate with clients and internal stakeholders to understand business objectives, translate them into analytical frameworks, and present insights with clarity.
• Mentor and guide junior team members in MMM techniques, coding best practices, and business storytelling.
• Drive automation and scalability in modeling pipelines and reporting dashboards.
• Explore and apply emerging methods (e.g., causal inference, machine learning) to enhance traditional MMM approaches.
• Proficiency in programming languages such as Python and/or R.
• Hands-on experience with SQL for data extraction and transformation
Job ID: 153639027
Skills:
data preparation , Python, Sql, Query Optimization, Ml, Generative AI, Ai, Evaluation, fine-tuning, Statistical Techniques, model training, Deployment, Monitoring, scalable analytics
Skills:
causal inference , Machine Learning, Python, Sql, Econometric statistical models, R, Bayesian Methods, Hierarchical modeling, Regression
Skills:
data wrangling , Tensorflow, Pytorch, Python, Machine Learning Algorithms, scikit-learn, AWS Bedrock, GCP Vertex AI, Statistical methods
Skills:
Tensorflow, Numpy, Pytorch, Computer Vision, Pandas, Natural Language Processing, Python, Langchain, Azure services, Scikit-learn, Bedrock AI platform
Skills:
Machine Learning, Pandas, Pytorch, MySQL, Flask, Azure, Python, Sql, Deep Learning, scikit-learn
