Data Scientist

Description

We are looking for an outstanding and passionate Data Scientist with expertise in deep learning and AI to join our team. The Ideal candidate will have an opportunity to research, design, implement, and evaluate a variety of advanced ML algorithms using the latest technology, with a specific focus on deep learning and AI applications.

Responsibilities

• Implement model usages from research to production, in a scalable and resilient architecture (and be part of creating and maintaining this architecture). 
• Apply cutting-edge solutions while leveraging our vast amounts of data, utilizing deep learning and AI techniques.
• Develop online and scalable models and tools using machine learning, deep learning, and Reinforcement Learning techniques.
• Take on projects end-to-end from business questions all the way to production, employing deep learning and AI methodologies.
• Work alongside machine learning experts, big data engineers, product managers, and developers from across the organization to solve complex problems, specifically incorporating deep learning and AI approaches.
• Contribute to continuous learning and knowledge sharing within the data science group, to stay ahead of the curve in deep learning and AI advancements.
• Lead innovation initiatives and stay in tune with the latest technologies and algorithms in the field of deep learning and AI.

Requirements

• 4+ years of Data Scientist experience
• Strong knowledge of Python
• Experience with large volume data storage platforms (bigquery, presto)
• High-level SQL knowledge
• Experience in leading AI projects from idea to production in various domains and using various AI solutions!
• Experience solving complex business problems using state-of-the-art deep learning and AI algorithms.
• Solid background in algorithms, data structures & programming
• Good understanding of probability and statistics.
• Ability to mentor others, work in teams, and teach peers, and learn from them. 
• Team player, ability to handle several tasks simultaneously.
• Independent, out-of-the-box thinker.
• Experience with working with ML frameworks (e.g., DataBricks, Sagemaker).

Advantages