Tags: jd DataScientist Postmates
Data Scientist at Postmates (View all jobs) San Francisco, Bellevue, Vancouver
Postmates runs one of the largest marketplaces in the country, connecting consumers, merchants, and couriers in real-time. Building high powered intelligence atop our large-scale datasets is a serious challenge and we’re looking for candidates who are ready to dig in. Postmates isn’t just another ad platform or mobile app for delivering static content: We have real customers paying real money for a real service.
As a Data Scientist, you’ll use your full toolkit - statistical modeling, machine learning, data mining, data visualization, and software engineering - to develop data products and models that are used by millions of users and power the growth of our business. You will collaborate with a strong team of engineers, product managers and data analysts in defining the frontier of data products and models in the three-sided marketplace. Data scientists will work on how to formulate a model from a real business problem, determine evaluation metrics, evaluate different modeling approaches, conduct data analysis, and build features and algorithms for the various challenging problems at Postmates
Modeling and forecasting demand and supply to enable more intelligent matching, optimize the overall marketplace efficiency and provide valuable insights to our merchants and Postmates Large scale Machine Learning algorithms that powers our Search Ranking models and Personalized Recommendation Engine Predicting the Postmate Delivery Time (PDT) and improving the dispatching algorithm Determining the optimal pricing strategies to help our Postmates maximize their revenue Identifying suspicious transactions and malicious users for risk control Natural Language Processing to understand text content on Postmates platform, including named entity resolution and recognization of reviews, descriptions and interactions between users on our marketplace
Requirements
A Bachelor’s/Master’s degree (or higher) in a technical field (Computer Science, Statistics, Economics, Operations Research, Math, Physics, Engineering, etc.) A deep theoretical understanding of modern machine learning algorithms, statistical models, or optimization Extensive experience with data tools, Python (Pandas, Scipy, Numpy, Scikit-Learn, etc), R, SAS, SQL, etc and strong skills in data analysis, data visualization, and feature engineering Ability to own your modeling work from model development all the way to production deployment and beyond with minimal help from engineers Experience with MapReduce, Spark, Hive, HBase, Google BigQuery, BigTable is a plus. Experience ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn is a plus. Strong communication skills. Explaining complex technical concepts to product managers, data analysts, and other engineers shouldn’t be a problem for you.
Benefits
Competitive salary and generous stock option plan Medical, dental and vision insurance Whatever equipment you need to work efficiently and creatively Paid parental leave, vacation time and sick time Catered lunches Impact-first work environment (no politics, no pandering) Huge company vision (we need you to build the future, not just maintain the status quo) Awesome office located in SOMA District just minutes from BART, Muni, AC Transit, and SamTrans