beBeeDataScientist

AI-Powered Fashion Recommendation Expert

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Jaipur, Rajasthan, India Fashion Designer Active
Actively Hiring Jaipur Full Time
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Job at a Glance

Category
Fashion Designer
Location
Jaipur, Rajasthan, India
Salary
Check with seller
Job Type
Full Time
Company
beBeeDataScientist
Status
Open & Active

Job Description

beBeeFashion


Part Time Fashion Assistant
beBeeFashion • Jaipur, Rajasthan • via Jobs Trabajo.org
16 hours ago
Full–time
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Job description
Job Opportunity:
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We are seeking a talented and creative individual to join our team as a Fashion Part Time Job/internship At Jaipur In. This is an excellent opportunity for those who are passionate about the fashion industry and want to gain hands-on experience in a dynamic environment.
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beBeeDataScientist


AI-Powered Fashion Recommendation Expert
beBeeDataScientist • Jaipur, Rajasthan • via Jobs Trabajo.org
56 minutes ago
Full–time
No Degree Mentioned
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Job description
Job Description

We are seeking a skilled Data Scientist with strong experience in building recommendation systems to join our team.

You will play a critical role in designing and optimizing personalized experiences for millions of users by transforming raw data into insights and automated systems.
• Design, build, and deploy scalable recommendation engines using collaborative filtering, content-based methods, or hybrid approaches.
• Develop user profiling models using clickstream and behavioral data.
• Leverage AI-driven product tagging to enhance metadata quality and retrieval.
• Analyze macro and micro fashion trends to influence product rankings.
• Extract insights from large-scale user data and convert them into actionable models.
• Work closely with engineers and product managers to integrate models into production.
• Develop and monitor metrics for model performance and user engagement impact.
Required Skills and Qualifications
• 2+ years of experience in data science, ideally in e-commerce or consumer-tech.
• Hands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders, implicit/explicit feedback models).
• Proficiency in Python and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, LightFM).
• Experience with data analysis tools such as SQL, Pandas, and Jupyter.
• Strong grasp of personalization techniques and user segmentation strategies.
• Solid understanding of product ranking using behavioral data and trend signals.
• Experience working with large-scale data pipelines and A/B testing frameworks.
• Strong communication and problem-solving skills.
Benefits

This is an exciting opportunity to work on cutting-edge AI technologies and transform how customers discover products.

Our platform integrates intelligent search and recommendation systems to deliver a personalized shopping experience.

As a Data Scientist, you will be part of a growing team that is shaping the future of e-commerce.
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