Sr. Data Scientist - Customer Lifetime Value Modeling
Hybrid · New York City, New York, United States
Job Summary
Senior Data Scientist to lead Customer Lifetime Value modeling initiatives and develop consumer-insights products. Responsibilities include building predictive analytics capabilities, leveraging data mining and statistical analysis, integrating third-party sources such as Shopify, collaborating with sales/product teams to identify growth opportunities, and delivering compelling presentations. Requires 4+ years in analytics or data science with strong Python/SQL skills, ETL experience, and a quantitative degree. Role is based in New York, NY with hybrid or remote work option; US citizen/Green Card required; no visa sponsorship.
Required Qualifications
- Bachelor's or higher degree in Computer Science, Engineering, Economics, Mathematics, Statistics, Data Science, or a relevant quantitative field
- 4+ years as a Data Scientist with at least 8 years of analytics/consumer insights experience
- Proficiency in Python, SQL, and experience with third-party data sources like Shopify
- ETL experience or SQL (ability to move data)
- Experience with Customer Lifetime Value Modeling
- Strong data manipulation and statistical modeling skills focusing on consumer insights
- Excellent written and verbal communication, especially presentations
- Entrepreneurial, self-motivated, detail-oriented, organized work approach
- Location: New York, NY (Hybrid or Remote)
- U.S. citizenship or Green Card; no sponsorship available
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