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. Data and analytics are critical to our future growth at ezCater. 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 the customer's experience of Food For Work. You will partner with cross-functional teams to develop personalized customer models, solve complex problems, and set the direction for data science initiatives across the organization. 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. As an individual contributor, lead the design and implementation of advanced statistical and data science models across ezCater’s growing business. Advance innovation and improvements to the analytics techniques, approaches, and processes used across the company. Data Analysis and Interpretation: Use advanced statistical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations. Modeling and Optimization: Develop, apply, and optimize models using techniques in data science and optimization. A/B Testing: Design, implement, and execute A/B tests to evaluate the impact of product changes on user engagement. Predictive Modeling: Develop predictive models to forecast user behavior and identify trends. Machine Learning Model Integration: Partner with our ML team to integrate customer-centric data science models into the customer experience. Experimentation and Analytic Innovation: Explore new data sources and technologies to enhance data science capabilities. Collaborate: Work closely with other data scientists, analysts, engineering, product, and business teams. Continuous Learning: Stay up-to-date with developments in data science and machine learning. What You Have: Background in B2B/B2C marketplace or e-commerce environments. 7+ years of experience in data science, machine learning, statistics, or a related field. Proficiency in programming languages such as Python, R, SQL, and experience with big data tools. Familiarity with cloud platforms and containerization technologies. Proven track record of deploying and maintaining data science & machine learning algorithms. Strong analytical and problem-solving skills. Excellent communication skills for conveying complex concepts. The national cash compensation range for this role is $201,000 - $257,000 per year. *Please note: Final offer amounts are determined by multiple factors, including prior experience and expertise. What You’ll Get from Us: You’ll get a compelling opportunity in an environment of radical transparency and collaborative colleagues. You’ll also get sane working hours and great flexibility around work/life balance. ezCater is an equal opportunity employer. We embrace humans of every background.

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