Principal Data Scientist - Consumer Experience

5 days ago

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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. • We provide the modern-day solution to meet customer's immediate everyday needs with products ranging from snacks and ice cream to household goods and beer, at the click of a button. • 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 language Model 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).

Benefits

• Gopuff pays employees based on market pricing and pay may vary depending on your location. • A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. • These ranges may be modified in the future. • For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.