Principal Data Scientist
2 months ago
Principal Data Scientist - Recommendation System
Qualifications- Proven experience (at a senior level) in developing and implementing recommendation algorithms in a retail or e-commerce environment
- Strong proficiency in programming languages such as Python or R
- Solid understanding of machine learning techniques, deep learning, and natural language processing
- Excellent leadership and communication skills with the ability to articulate complex technical concepts to non-technical stakeholders
- The successful candidate will be responsible for leading and driving the development, implementation, and optimization of our recommendation algorithms
- You will work closely with cross-functional teams to enhance our customer experience and drive business growth through personalized recommendations
- Create real-time recommendation services to integrate with the rest of the tech stack
- Collaborate with cross-functional teams to align recommendation system strategies with overall business objectives
- Lead the design, development, and implementation of advanced recommendation algorithms
- Stay current with industry trends and emerging technologies in recommendation systems
- Analyze large datasets to extract meaningful insights that can be used to improve recommendation accuracy
- Develop and implement machine learning models to enhance recommendation performance
- Collaborate with data engineers, software developers, and product managers to integrate recommendation algorithms into our systems
- Work closely with stakeholders to gather requirements and ensure alignment with business goals
- Design and conduct A/B testing to evaluate the effectiveness of different recommendation algorithms
- Continuously optimize and refine recommendation models based on user feedback and performance metrics
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