Job Description:
We are seeking a highly skilled Principal Data Scientist to join our USA client's engineering team, which is developing innovative solutions for the e-commerce and logistics industries.
About the Role:
This is an exciting opportunity for a data scientist who enjoys working with cutting-edge technologies in a fast-paced environment. The successful candidate will have extensive experience in building and deploying machine learning models, as well as a strong background in statistics, mathematics, analytics, and computer science.
Key Responsibilities:
* Develop and enhance machine learning, statistical, and causal models for product search, ranking, and recommendation.
* Collaborate with product and engineering managers to design and deploy solutions that meet business objectives.
* Educate business and engineering partners on data science concepts and best practices.
* Build models that support real-time events and provide high-quality insights.
* Present work to business and engineering leadership, ensuring effective communication of results.
* Identify gaps in existing data and develop data product specifications to improve tracking and analysis.
* Partner with Analytics team members and other functions to share knowledge and best practices.
Requirements:
* M.S. or Ph.D. in statistics, mathematics, analytics, computer science, or a related field.
* 8+ years of experience as a data scientist in e-commerce or logistics.
* Hands-on experience in building ranking and recommendation models in production environments.
* Expert knowledge in statistical and machine learning techniques, including model deployment and Machine learning workflows.
* Proficiency in Python, related ML libraries and frameworks (e.g., PyTorch), SQL, cloud platforms (e.g., AWS, GCP, Azure), and model development and deployment technologies (e.g., Databricks).
* Excellent communication and presentation skills to both technical and business audiences.
What We Offer:
* A dynamic and innovative work environment.
* The opportunity to work on challenging projects and contribute to the development of cutting-edge solutions.
* A collaborative and supportive team.
* Ongoing training and professional development opportunities.