About the Role
We are seeking a skilled and experienced Data Scientist to join our logistics team, focusing on Assignment and Promises domains. As a DS2, you will play a crucial role in enhancing our logistics operations through the application of advanced mathematics, machine learning, deep learning, statistics, and operations research techniques.
Key Responsibilities
- Work closely with Assignment and Promises teams.
- Develop and deploy machine learning and deep learning models.
- Conduct data analysis and modeling to identify opportunities for optimization and automation.
- Apply operations research techniques to solve complex logistics problems.
- 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, deep learning, and logistics optimization techniques.
Qualifications
- Bachelor's degree or higher in Applied Mathematics, Statistics, Computer Science, Operations Research, or a related field.
- 3 to 5 years of hands-on experience in industry or research lab settings.
- Strong expertise in machine learning algorithms, deep learning, and statistical methods.
- Proven track record of developing and shipping ML and DL 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, operations research, and working in startup or product-based consumer/internet companies is preferred.