Staff Data Scientist (Remote)

Ezcater • Boston, MA

255d • $201,000 - $257,000 • Remote

About The Position

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 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 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.

Requirements

• 7+ years of experience in data science, machine learning, statistics, computer science, mathematics, or a related field.
• Background in B2B/B2C marketplace or e-commerce environments.
• Deep expertise in Python and SQL required.
• Proven track record of ‘leading by example' through collaboration, guidance, and mentoring of other data scientists & or analysts.
• Strong analytical and problem-solving skills, with the ability to work independently.
• Excellent communication skills for conveying complex concepts to non-technical audiences.

Nice To Haves

• Experience with data stack including Snowflake, DeepNote, DBT, Airflow, AWS, FiveTran, Sagemaker, MLFlow, Kubernetes + Docker.

Responsibilities

• Driving development, prototyping, and rapid iteration of models that are feeding data-driven intelligence in our products.
• Ensuring that our data science modeling efforts are aligned with company priorities and ensure they demonstrate tangible, measurable business value to prioritize where we should invest.
• Accountable for facilitating the transition of model development to our MLEs and establishing success criteria for the models in production.
• Be on the leading edge of driving innovation of advanced data science methods and models at ezCater, identifying means to rapidly mature our data science practices throughout our product.
• Partner with our ML team to integrate customer-centric data science models and algorithms into the customer experience in the most valuable and effective manner.
• Develop predictive models to forecast user behavior, identify trends, and anticipate customer needs.
• Develop, apply, and optimize models using cutting-edge techniques in data science and optimization to address complex business challenges.
• Explore new data sources, techniques, and technologies to enhance the data science capabilities and contribute to innovation within the product development process.
• Work closely with data scientists, analysts, engineers, product managers, and the business to understand their needs and deliver data-science and machine-learning powered solutions.
• Stay up-to-date with the latest developments in data science, machine learning, and relevant industry trends.

Benefits

• Market salary
• Stock options
• Usual holidays
• All-you-can-eat vacation
• 401K with ezCater match
• Health/dental/FSA
• Long-term disability insurance
• Remote-hybrid work from home or office
• Tremendous amount of responsibility and autonomy
• Collaborative work environment
• Snacks and goodies in the office

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree