What are the responsibilities and job description for the Senior Data Scientist position at GrubHub?
About The Opportunity
Do not wait to apply after reading this description a high application volume is expected for this opportunity.
We’re all about connecting hungry diners with our network of over 300,000 restaurants nationwide. Innovative technology, user-friendly platforms and streamlined delivery capabilities set us apart and make us an industry leader in the world of online food ordering. When you join our team, you become part of a community that works together to innovate, solve problems, grow, work hard and have a ton of fun in the process!
About The Role
Grubhub is looking for an innately curious, business-minded, results-oriented Data Scientist to work in our Discovery and Ads teams. We are focused on providing high quality and highly relevant merchant recommendations and ads to users who are exploring restaurants, looking to order groceries, or something from the neighborhood pharmacy. As a member of this highly collaborative team, you will partner with other data scientists, engineering, and product to deliver new runtime models and services not only in Ads, but improve recommendations and search across the Top of the Diner funnel as a whole. You will also be responsible for creating metrics to validate performance of models, proposing new algorithmic approaches to improve our current system, designing A / B tests, and identifying creative solutions to bridge state of the art information retrieval with business and engineering requirements. Additionally, you will be driving technology best practices and guiding the evolution of responsive systems. Responsibilities include creating documentation accessible to both technical and non-technical audiences, mentoring junior data scientists, creating and maintaining automated training jobs, creating metrics dashboards and alerts, and advising best algorithmic trade-offs to business stakeholders.
The Impact You Will Make
Help the business gain insights from recommendations in search and discovery, with a focus on balancing short and long-term metrics for both ad placements and organic content.
Optimize user experience by balancing compelling ad placements with relevant organic content to maximize overall engagement and drive orders and diner returns.
Assess new algorithms and business policies with a focus on optimizing across competing KPIs like the short and long term impacts of advertisement on our diners, creating appropriate metrics that can be leveraged in our A / B tests and monitoring systems.
Collaborate with Product and Engineering teams to understand new product ideas, assess risks and ensure that the necessary data is available.
Discover new and innovative ways to refine what we're doing and question existing assumptions.
Relentlessly analyze the interplay between ads and organic content, improving overall business performance through data-driven insights and optimization.
What You Bring To The Table
MS / PhD in quantitative discipline (Computer Science, Math, OR, Physics, Engineering, Statistics or other technical field) or equivalent experience.
4 years doing counterfactual analysis, operational research or causal inference.
5 years experience with data analytics, machine learning, or related field.
4 years experience in Python machine learning libraries and deep learning frameworks such as PyTorch and TensorFlow.
4 years experience scaling models to production.
Experience with large language models like GPT, LLAMA, BERT, or Transformer-based architectures is a plus.
Experience in developing and optimizing ad recommendation systems is a plus.
Experience in data engineering and feature preparation in PySpark, Hive, and the Python data stack.
Comfort communicating performance metrics, model details, and features specifications to technical and non-technical audiences.
Ability to keep up with the latest publications and synthesize research into working models.
Deep interest in self-motivated continuous learning.
J-18808-Ljbffr
