We are looking for a Senior Data Science Engineer:

• English - Upper-Intermediate
• Full time
• Location: Kazakhstan, Uzbekistan, Serbia, EU
• Working Time Zone: CET
• Planned Work Duration: 12+ months
• Technology Stack: Flask, Pydantic, Gunicorn, Peewee, PostgreSQL, Sentry, Elastic, Scikit-learn, concurrency and multithreading, laser embeddings

Customer Description: The client is a global TV streaming services provider.

Project Description:

A сutting-edge Recommendation Service, leveraging advanced AI and machine learning algorithms to deliver personalized user experiences.

The project focuses on analysing large-scale data to suggest relevant content, products, or services, enhancing user satisfaction and engagement. The system will integrate seamlessly with multiple platforms, providing real-time, context-aware recommendations.

⚙️ Project Phase: ongoing

👨‍💻Project Team: 2 python devs + 1 data science + 1PM

🤝 Soft Skills:

• Strong communication skills
• Ability to work independently
• Proficiency in engaging with clients to clarify requirements

💡 Hard Skills / Must Have:

• 5+ years of experience.
• Strong background in Scikit-learn for data manipulation, model development, and evaluation.
• Experience with laser embeddings for generating text-based embeddings to represent content.
• Expertise in developing and improving recommendation models, especially those based on content similarity.
• Proven ability to work with clustering models and optimize clustering algorithms and processes.

📌 Responsibilities and Tasks:

• Analyse and improve recommendation model based on content similarity
• Work with clustering models, analyse and improve clustering process
• Improve similarity matrix building process
• Work on data structure to improve recommendations