
Data Scientist: Advanced Search and Recommendation Systems
1 week ago
About us:
We are a leading provider of data services and technology solutions.
Our company has a long-term vision focused on data analytics and AI, with pillars in education and learning. We offer specialized solutions to business information providers across various domains.
Utilizing technology and AI with human expertise, we create valuable data assets for our clients to power their products and customer workflows. Our clients seek assistance in building enterprise capabilities in data analytics and AI. With a global client base spanning 30 countries, our multi-geographical resource pool is strategically located in eight countries worldwide.
Job Responsibilities:
- Develop complex models addressing business problems using Machine Learning, NLP, Reinforcement Learning, and Deep Learning to enhance search, browse, autocomplete, and recommendations experiences.
- Build, deploy, and maintain predictive models for search relevance, query understanding, ranking, personalization, product sale forecasting, and product recommendation systems.
- Manage multiple projects independently with high autonomy and accountability.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Communicate analytical solutions to non-technical stakeholders and senior leadership.
Key Requirements:
- 3+ years of experience in Machine Learning and Statistical Modeling in e-commerce or related environments.
- Expertise in traditional and modern machine learning techniques (Regression, Classification, Ensemble Methods, Deep Learning, Reinforcement Learning).
- Effective communication and presentation of complex quantitative analyses.
- Prior experience working in the e-commerce sector is a plus.
- Bachelor's or master's degree in data science, computer science, statistics, or a related field from a reputable institution.
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