Way of working – Remote : Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter.

We are seeking a skilled and experienced Data Scientist to join our logistics team, focusing on Assignment optimization. As a DS2, you will play a crucial role in enhancing our logistics operations through the application of advanced mathematics, machine learning, statistics, and operations research techniques.

Key Responsibilities:

• Work closely with the logistics team to optimize Assignment and Batching processes.
• Develop and deploy machine learning models to improve logistics efficiency and accuracy.
• Conduct data analysis and modeling to identify opportunities for optimization and automation.
• Collaborate with cross-functional teams, including software developers and product managers, to integrate data-driven solutions into our systems.
• Take ownership of projects from inception to delivery, ensuring high-quality and impactful results.
• Stay updated on the latest advancements in machine learning and logistics optimization techniques.

Qualifications:

• Bachelor’s degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field.
• 3 to 5 years of hands-on experience in industry or research lab settings.
• Strong expertise in machine learning algorithms and statistical methods.
• Proven track record of developing and shipping ML data products.
• Proficiency in Python.
• Experience with Spark is a plus.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Previous experience in deep learning and working in startup or product-based consumer/internet companies is preferred.