Position: Data Scientist (Waitr) * Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business * Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends * Identify and quantify levers to help move key metrics * Recommend which features to build and why * Work backwards from understanding and sizing problems to ideating solutions * Generate recommendations and use statistical techniques and hypothesis testing to validate your findings. This includes: * Performing analytical deep-dives to identify problems, opportunities and actions required; * Collecting, processing, and cleaning data from disparate sources using SQL, Python, or other scripting and statistical tools; and * Managing the design, execution, and analysis of experiments; driving rigor and testing culture through product and operations teams * Report against company initiatives by identifying key metrics and building executive-facing dashboards to track progress * Monitor key performance metrics, understanding root causes of changes * Build data sets and reporting tables to empower operational and exploratory analysis * Partner with engineering to implement, document, validate, and iterate on building solutions at scale Qualifications: * Is high-energy and confident ? youll do whatever it takes to win * Is an owner ? driven, focused, and quick to take ownership of your work * Is humble ? youre willing to jump in and youre open to feedback * Is Adaptable, resilient, and able to thrive in ambiguity ? things change quickly in our fast-paced startup and youll need to be able to keep up! * Is Growth-minded ? youre eager to expand your skill set and excited to carve out your career path in a hyper-growth setting * Has a strong desire for impact ? ready to take on a lot of responsibility and work collaboratively with your team * Have 2+ years of industry experience developing machine learning models with business impact ? more experience preferred * Have a B.S., M.S., or PhD. in Statistics, Computer Science, Math, Physics, Economics, or other quantitative field * Possess Deep understanding of statistics / machine learning * Be able to demonstrate the ability to write well written code (experience with Python preferred) * have experience with real-time technology problems * have experience with Pandas / Python machine learning libraries * have experience with AWS SageMaker Application Requirements: Apply online at the link provided.