Lead Data Scientist
Product, Remote
Confirmed live in the last 24 hours

501-1,000 employees

Online catering marketplace

Company Stage

Series D

Total Funding





Boston, Massachusetts

Growth & Insights

6 month growth


1 year growth


2 year growth

Cambridge, MA, USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
AI & Machine Learning
Data & Analytics
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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)
Desired Qualifications
  • Experience in 2-sided marketplaces for both B2C and B2B customers is a plus