Senior Data Scientist
Some Challenges You’ll Tackle
Be a part of the data science teams that develops models and triggered marketing programs that deliver relevant offers to our hungry diners. The systems you'll build will affect grubhub.com and offsite experience (email, push notifications, display and social ads). Finding the most relevant restaurant, dish, and offer for each of our diners, across a diverse set of options. Solving complex, large-scale problems using Spark and Python. Build models that will meaningfully affect our marketing spend, and impact millions of our customers. Explore diverse data sets of large volumes to develop models which help drive complex, real time data driven products with real world impact. Using sound scientific principles in analysis, model training, testing and validation of the data models to create precise, high performing and reliable models to be used in our marketing. Using software principles to write functional, scalable, tested and clean deployable code, during the implementation stage of algorithms. Mentor the Agile team of data scientists. Help solve challenging problems with problem formulation, coding, debugging, and planning of future iterations. Collaborate and work closely with Engineering, Product and Design to create high quality reliable, consumer-facing products.
You Should Have
Requires a Bachelor's Degree in Computer Science, Applied Mathematics, or a related field plus 4 years of experience in each of the following: Hands-On Software Engineering, Including Testing, Code Reviews, Automation, Scaling Production Systems; Developing, Debugging, Improving Models in Python and Spark; Machine learning and statistics, including regression methods, classification methods, clustering, neural networks, and unsupervised learning methods; anomaly detection, user rating calculation, and time series forecasting; experiment Design, Including Control Vs Variations, Factorial Experiment Design, Multivariate Experiments, And Simple Random Sampling Vs. Stratified; SQL; transactional and data warehouse environments using MYSQL, Postgres, or Hadoop/Hive; Joins, subqueries, and window functions.