
Data Scientist
2 weeks ago
About our company:
We are a leading technology firm that specializes in providing cutting-edge data solutions to various industries. Our long-term vision is built around the core pillars of data analytics and AI-powered operations, education, and learning.
We provide specialized solutions to business information providers across finance, insurance, legal, real estate, life sciences, and logistics. We continue to be a leading content services provider to research and education publishers.
Data Analytics & AI Services: Our data solutions have become critical to our clients' success. We leverage technology and AI with human expertise-in-loop to create valuable data assets that our clients use to power their data products and customer workflows.
As our clients expect us to become their future-fit analytics and AI partner, they look to us for help in building enterprise capabilities for them. With a client-base spanning 30 countries worldwide, our multi-geographical resource pool is strategically located in eight countries.
Responsibilities:
- Deliver complex models and address business problems
- Apply expertise in 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 stakeholders and senior leadership.
Key Requirements:
- 3+ years 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 eCommerce sector is a plus.
- Bachelor's or master's degree in data science, computer science, statistics, or a related field from a reputable institution.
Why Choose Us:
- Work with a leading technology firm
- Develop your skills in machine learning and AI
- Collaborate with cross-functional teams
- Communicate with stakeholders and senior leadership
What We Offer:
- A dynamic work environment
- Ongoing training and development opportunities
- A competitive compensation package
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