Data Scientist II - Consumer Experience

Gopuff

About The Position

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, youâll have the opportunity to work on a wide variety of high impact projects related to Search, Browse, and Sponsored Recommendations. Youâll have ownership from prototype to productionalization. Youâll refine our existing systems in retrieval, ranking and query understanding so that we can show the perfect products to enhance usersâ discovery experience. Youâll make a huge impact on the future success of Gopuff.

Requirements

MS or PhD new grad in statistics, mathematics, computer science or related field
Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems
Strong Desire to learn and be able to learn quick
Expert knowledge of statistical and machine learning techniques
Expect knowledge of Data Science libraries in a programming or scripting language
Proficient in Python + related ML libraries and frameworks (Ex: PyTorch)
Proficient in SQL and working with large datasets.
Excellent communication and presentation skills (to both technical and business audiences)

Nice To Haves

Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks) as a plus.
Experience about building ranking and recommendation models in production environments as a plus

Responsibilities

Be innovative. Aim to improve consumer experience for sustainable growth
Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals
Work closely with product and engineering team to develop and deploy solutions with cross-functional support
Build models that support real-time events and internal stakeholder decisions across the business
Present work to business and engineering leadership
Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data solutions
Are committed to automation and productionalized solutions whenever possible