We’re hiring a Data Scientist to build predictive analytics solutions using subscriber/customer data. You’ll work with large, complex relational schemas (700+ tables), develop models like churn prediction and propensity scoring, and translate business needs into practical, measurable data science outputs. This role is highly collaborative and requires navigating a complex data architecture with multiple stakeholders.
You’re strong in SQL + Python, comfortable exploring messy or inconsistent datasets, and you can adapt when different clients share the same schema but have different data availability. You communicate clearly, ask smart questions, and can partner closely with internal teams to understand data definitions, constraints, and the “why” behind the business problem.
Strong SQL skills and ability to work with complex relational schemas (700+ tables)
Experience building predictive models, especially churn prediction and/or propensity scoring
Python for data science (pandas, scikit-learn, etc.)
Understanding of first-party data and subscriber/customer analytics
Ability to work with variable data structures across clients (same schema, different data availability per client/user)
Experience translating business requirements into data science solutions
Clear communication skills and ability to collaborate closely with internal teams and navigate complex data ownership / points of contact
Snowflake experience (Cortex ML, Snowpark)
Experience with MarTech / publishing industry data (subscriptions, renewals, audience engagement)
NLP/LLM experience, including how to structure data for agent consumption (schema descriptions, context injection)
Experience building data dictionaries or metadata documentation for AI systems
Background in audience segmentation or marketing analytics
Familiarity with on-prem to cloud data replication patterns
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Founded by James Sullivan, who built OneSeven Tech - a premier digital product agency serving startups and enterprises. OneSeven has partnered with startup clients who have collectively raised over $100M in VC, with enterprise clients including 2000+ person hospitality groups and NASDAQ companies.
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