Data Scientist

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We are proud to present you with the following opportunity.

About Our Client:

Frenzy AI is an innovative company revolutionizing the e-commerce landscape through the power of artificial intelligence. By leveraging cutting-edge machine learning technologies, they create personalized shopping experiences that drive user engagement and business growth. Frenzy AI fosters a culture of innovation, collaboration, and impact, offering a dynamic environment for professionals who want to shape the future of e-commerce.

Role Overview:

As a Data Scientist at Frenzy AI, you will play a crucial role in building and deploying scalable recommendation systems that enhance user experience and business outcomes. You will collaborate closely with cross-functional teams to develop machine learning models, perform data analysis, and optimize personalization strategies. This is an exciting opportunity to work with large-scale datasets and deploy models that make a real impact.

Responsibilities:

• Develop, implement, and deploy recommendation systems using techniques like matrix factorization, deep learning, and implicit/explicit feedback models
• Perform data analysis and build predictive models leveraging behavioral data and trend signals
• Work with large-scale data pipelines and contribute to the development of A/B testing frameworks
• Collaborate with product and engineering teams to design and optimize personalization and user segmentation strategies
• Analyze and interpret data to deliver actionable insights that drive product ranking and user engagement
• Communicate technical findings effectively to non-technical stakeholders
• Continuously research and apply state-of-the-art machine learning techniques to enhance recommendation performance
  
  
  

Requirements

• 3+ years of experience in data science, ideally in e-commerce or consumer-tech environments
• Strong proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, and LightFM
• Hands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders, implicit/explicit feedback models)
• Experience with SQL, Pandas, and Jupyter for data analysis
• Strong understanding of product ranking models using behavioral data
• Experience working with large-scale data pipelines and A/B testing frameworks
• Excellent problem-solving skills and ability to communicate complex technical concepts clearly
  
  
  

Benefits

• Compensation in USD
• Fully remote work
• Career growth opportunities with an international, dynamic company