Lead 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.

Critical to ezCater’s future growth is how we transform rich customer-centric data assets into value-added intelligent models that power our customer-facing product solutions. As a Lead 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 drive development, prototyping, and rapid iteration of models while ensuring these models demonstrate tangible, measurable business value. You will also lead innovation of advanced data science methods and models at ezCater, identifying means to rapidly mature our data science practices throughout our product. 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:

• Predictive Modeling and Optimization: Develop predictive models to forecast user behavior, identify trends, anticipate customer needs, and optimize our offerings, contributing to data-driven decision-making in product development. Apply the latest AI technologies to enhance ezCater’s product.
• Machine Learning Model Integration: Partner with our ML team to integrate data science models and algorithms into the product in the most valuable and effective manner, including providing personalized experiences, recommendations, and features for users.
• 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 for product improvements.
• Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, AI and relevant industry trends, applying these insights to your work.
• As an individual contributor, be the advisor and subject matter expert for structural design of data, analysis, experiments, and modeling for your domain; advance innovation and improvements to the analytics techniques, approaches, and processes used across the company.

What You Have:

• 5-7 years experience in data science, statistics, computer science, or a related field, performing statistical modeling and quantitative and technical analysis, ideally with experience in marketplace or e-commerce environments.
• Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap.
• Experience in deploying and maintaining data science & machine learning algorithms that are widely used and adopted.
• Demonstrated proficiency in explaining complex analysis to stakeholders at all levels of the organization and translating conclusions into straightforward, actionable business recommendations and strategic direction. Includes creating clear and compelling visualizations to communicate complex data.
• Demonstrated ability collaborating with cross-functional teams, including product managers, engineers, analysts, and designers, to define and address key business challenges using data-driven approaches.
• Self-directed and demonstrated ability to define, prioritize, and direct analytics initiatives
• Proficiency in SQL, Python, and Python libraries such as Pandas, Numpy, and scikit-learn.
• Knowledge of data science / ML modeling approaches (e.g. time series forecasting, logistic regression, and gradient-boosted decision trees).
• Experience partnering with business teams on nimble and rapid model development.
• Be able to own and deliver projects/programs both on your own and as a member of a broader team.
• Experience in 2-sided marketplaces for both B2C and B2B customers is a plus.

The national cash compensation range for this role is $160,000 - $200,000 per year.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

Please have fun with the Cover Letter portion of the application! It does not need to follow “traditional” cover letter guidelines - we would love for you to write 150-500 words explaining why you are interested in ezCater and the role, and highlighting anything else you think we should know!

ezCater does not sponsor applicants for work visas or legal permanent residence.

What You’ll Get from Us:

You’ll get a terrifically compelling experience in an innovative, high performing environment. You’ll get to work with engaged and passionate colleagues on challenging and impactful projects. You will have opportunities to grow in your career, and work in a place that values work/life harmony.

Oh, and you’ll get all this: Market competitive salary, stock options that you’ll help make worth a lot, 12 paid holidays, flexible PTO, 401K with ezCater match, health/dental/FSA, long-term disability insurance, mental health and family planning resources, remote-hybrid work from our awesome Boston office OR your home OR a mixture of both home and office, a tremendous amount of responsibility and autonomy, wicked awesome co-workers, Relish (and many more goodies) when you’re in our office, and knowing that you helped transform the food for work space.

ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.

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