Staff Data Scientist (Remote)

ezCater is the leading food for work technology company in the US, connecting anyone who needs food for their workplace to over 100,000 restaurants nationwide. For workplaces, ezCater provides flexible and scalable solutions for everything from recurring employee meals to one-off meetings, all backed by 24/7 customer service with real humans. ezCater also enables companies to manage their food spend in a single, customizable platform. For restaurant partners, ezCater helps them grow their business by bringing them more orders and new high-value customers. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.

Data and analytics are critical to our future growth at ezCater. Equally as important, is how we transform that data into value-added intelligent models, leveraging our deep customer-centric data assets. As a Staff Data Scientist, you will play a pivotal role in designing, developing, and deploying data science and ML models to revolutionize our business and transform customer's experience of Food For Work. You will partner with cross-functional teams to develop personalized customer models, play a key role in solving complex problems and set the direction for data science initiatives across the organization. This role is ideal for an individual who can deliver on open-ended questions and thrives on tackling challenging data science problems through hands-on coding to develop impactful solutions.  

What You'll Do:

• Be the thought leader for elucidating and demonstrating the business opportunities that can be solved with applying advanced Data Science models to ezCater’s business. Coach and mentor technical analysts and other data scientists in applying models; establish best practices and standards
• As an individual contributor, lead the design and implementation of advanced statistical and data science models across ezCater’s growing business. Be the advisor and subject matter expert for structural design of data, analysis, experiments, statistical modeling, and data science application
• Advance innovation and improvements to the analytics techniques, approaches, and processes used across the company. Set the technical direction and standards for coding and designing models across ezCater’s business. 
• Data Analysis and Interpretation: Use advanced statistical techniques such as Bayesian and causal inference to analyze large datasets, extract meaningful insights, and provide actionable recommendations.
• Modeling and Optimization: Develop, apply, and optimize models using cutting-edge techniques in data science and optimization to address complex business challenges
• A/B Testing: Design, implement, and execute A/B tests to evaluate the impact of different product …