Data Scientist - Anomaly Detection & Product Scoring - Remote

Overview

Mirakl, a leader and pioneer in the platform economy, offers businesses a unique suite of solutions to significantly transform their e-commerce and sustainably accelerate their growth. Since 2012, Mirakl has been supporting B2C and B2B companies with the most advanced, secure, and scalable technology to digitalize their operations and expand their offerings through marketplaces or dropshipping, streamline catalog and payment management for suppliers, provide a personalized shopping experience for customers, and increase profits through retail media.

In Short

• Join the Data Science team at Mirakl.
• Prototype, iterate, and deploy algorithms impacting clients.
• Collaborate with Product teams, Data Engineers, and developers.
• Work on anomaly detection, sentiment analysis, and delivery estimation.
• Implement algorithms for over 500 e-commerce sites in 40 countries.
• Utilize diverse techniques including Time Series, Heuristics, and NLP.
• Enjoy autonomy and ownership in your projects.
• Work with tools like Python, TensorFlow, and AWS.
• Participate in weekly data science presentations.
• Engage in brainstorming sessions with the team.

Requirements

• Background in machine learning, mathematics, or related fields.
• 2+ years of experience in a similar role.
• Experience deploying machine learning algorithms.
• Good knowledge of machine learning and deep learning algorithms.
• Proficiency in Python, TensorFlow, or PyTorch.
• Pragmatic, data-driven, and team-oriented mindset.
• Ownership and curiosity in your work.
• Positive attitude and values of respect and kindness.

Benefits

• Impactful work on a large scale for e-commerce platforms.
• Exposure to various advanced techniques and technologies.
• Autonomy and responsibility in your projects.