Job Description
Core Competencies
- 1–3 years of experience in Data Science, Analytics, or a related quantitative role
- Strong ability to translate business problems into structured data problems and analytical solutions
- Experience working with cross-functional stakeholders (e.g., Marketing, Product, Operations) to define KPIs, hypotheses, and success metrics
- Demonstrated ability to take models from experimentation to production environments
Technical Skills
• Proficiency in Python
• Solid understanding of machine learning fundamentals (supervised and unsupervised learning, model evaluation, feature engineering)
• Experience building and validating models such as:
Customer segmentation (clustering, behavioral profiling)
Churn prediction and retention modeling
Propensity modeling and marketing attribution
• Experience with SQL and working with structured and semi-structured data
• Familiarity...
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