About the job
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 changes and features on user engagement, retention, and conversion rates.
- Predictive Modeling: Develop predictive models to forecast user behavior, identify trends, and anticipate customer needs, contributing to data-driven decision-making in product development.
- Machine Learning Model Integration: 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, including providing personalized experiences, recommendations, and features for users.
- Experimentation and Analytic Innovation: Explore new data sources, techniques, and technologies to enhance the data science capabilities and contribute to innovation within the product development process.
- Collaborate: Work closely with other data scientists, analysts, engineering, product, and business teams to understand their needs and deliver data-science powered solutions.
- Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and relevant industry trends, applying these insights to your work to move the company forward.
- Background in B2B/B2C marketplace or e-commerce environments.
- 7+ years of experience in data science, machine learning, statistics, computer science, mathematics, or a related field, performing statistical modeling and quantitative and technical analysis.
- Proficiency in programming languages such as Python, R, SQL, and experience with big data tools (e.g., Snowflake, Hadoop, Spark) and Interactive Computing Environments (e.g. DeepNote, Jupyter Notebooks, Google Colab).
- Familiarity with cloud platforms (AWS, Google Cloud, Azure), containerization technologies (Docker, Kubernetes), and MLOps tools and practices for deploying and managing machine learning models.
- Proven track record of deploying and maintaining data science & machine learning algorithms that are widely used and adopted in business applications.
- Proven track record of ‘leading by example’ through collaboration, guidance, and mentoring of other data scientists & or analysts in employing methodologies and vetting applications for performance, accuracy and quality.
- Strong analytical and problem-solving skills, with the ability to work independently.
- Excellent communication skills for conveying complex concepts to non-technical audiences.
- 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).
ezCater does not sponsor applicants for work visas or legal permanent residence.
What You’ll Get From Us
You’ll get a terrifically compelling opportunity in an environment of radical transparency and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.
Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.
Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon.
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.
For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy.
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