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1 hour ago
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sql python machine learning recommendation systems experimentationπ Description
- Build and improve recommendation systems to personalize experiences across prediction markets
- Partner with product managers to identify personalization opportunities and define success metrics
- Develop features and models that improve relevance and user interaction with prediction markets
- Collaborate with engineers to design scalable feature pipelines and ranking systems
- Design and run experiments to evaluate model performance and impact on engagement
π― Requirements
- 5+ years of experience building recommendation systems for customer-facing products
- Proficient in Python and SQL with production ML systems experience
- Experience with experimentation methods and causal inference
- Strong communication and collaboration with product, engineering, and data science partners
- Demonstrates ownership from concept through implementation
π Benefits
- Challenging, high-impact work to grow your career
- Equity ownership and 401(k) matching
- Best-in-class benefits: 100% paid health insurance for employees; 90% coverage for dependents
- Lifestyle wallet β flexible benefits spending account for wellness and learning
- Employer-paid life and disability insurance, fertility benefits, and mental health support
- Time off to recharge including holidays, PTO, sick time, parental leave, and more
- Exceptional office experience with catered meals, events, and comfortable workspaces
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