Principal Data Scientist - Consumer Experience

8 hours ago

Apply Now

Receive Emails with Similar Jobs

Gopuff

WebsiteLinkedInAll Job Openings

On Demand Delivery • Warehousing and Logistics • Mobile Applications • Consumer Technology • Instant Needs

5001 - 10000

💰 Funding Round on 2022-05

Description

• Do you have a passion for solving impactful problems using data science? Gopuff is building solutions to dramatically change the way people purchase their daily goods. • Our business is built on a backbone of technology, which generates high-quality data from shopping to facilities management to order fulfillment. • As a Data Scientist on the Gopuff consumer science team, you’ll have the opportunity to work on a wide variety of high impact projects related to Search and Recommendations. • You’ll have ownership from prototype to productionalization and the across functional support to launch 0-1 systems. • You’ll refine our existing systems in retrieval, ranking and query understanding so that we can show the perfect products to enhance users’ discovery experience. • You'll be able to build aspects of search from the bottom up. • You’ll make a huge impact on the future success of Gopuff. • This is a remote position.

Requirements

• MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field AND 3+ years of experience as a data scientist in eCommerce or Logistics • Or, 8+ years of experience as a data scientist in eCommerce or Logistics • Hands-on experience in building ranking and recommendation models in production environments • Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems • Expert knowledge in: Statistical and machine learning techniques • Data Science libraries in a programming or scripting languageModel deployment • Machine learning workflows • Proficient in: Python + related ML libraries and frameworks (Ex: PyTorch) • Proficient in SQL and working with large datasets. • Experience with 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)