Data Scientist I, SAMBA
- Analyze customer data for segmentation, clustering, acquisition, retention, engagement, and recommendations
- Perform content evaluation, apply natural language processing, analyze attributes and representations (in text, audio, cover art), generate content recommendations, and identify trends
- Conduct product-related analyses including user click stream analysis, search engine optimization, and product recommendations
- Evaluate marketing performance across earned, paid, and owned media evaluation
- Currently pursuing a MS/PhD in computer science, statistics, mathematics, operations research, data science, economics, or another discipline involving experimental design and quantitative analysis of experimental data
- 1+ years of hands-on experience with machine learning, predictive modeling, and/or statistical analysis techniques
- Development experience with Python or equivalent scripting languages
- Experience in extracting data using SQL
- Exposure to software engineering environments (version control, command line)
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
- Experience with causal inference methodologies for quasi-experimental settings (Synthetic Control, Difference-in-Difference, Regression Discontinuity, Propensity weighting)
- Experience in forecasting methodologies
- Ability to tackle very loosely defined problems and consistently deliver elegant, modular and scalable solutions in a timely manner
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