Wonder
Wonder
Wonder — жеткізу, алып кету және мейрамханада тамақтану мүмкіндіктері негізінде икемді фуд-холл тәжірибесін қалыптастыратын тамақ және сусын компаниясы. Компания Michelin жұлдызы бар аспаздар мен басқа да танымал тағам сарапшыларын қоса алғанда, марапаттарға ие болған аспаздармен және мейрамханалармен серіктесіп, мейрамхана деңгейіндегі тағамдардың кең таңдауын ұсынады. Клиенттер бір тапсырыста бірнеше мейрамхана серіктесінің тағамдарын біріктіріп, Tri-State аймағындағы үйлерге әртүрлі ас мәзірін жеткізе алады. Wonder моделі таңдалған асханаларды, мейрамхана серіктестіктерін және электрондық коммерцияның қолайлылығын бір қызметке біріктіреді.

Senior Staff Data Scientist, Marketplace ML and Experimentation

Lead marketplace machine learning, causal inference, and experimentation at Wonder, shaping production systems that improve customer experience, fulfillment, pricing, and business decisions.

Сипаттама

  • Set the principles and practices that guide Wonder’s use of data, experimentation, and machine learning.
  • Coach and mentor a growing team of data scientists.
  • Support career growth and technical excellence across the group.
  • Investigate how interconnected marketplace systems and feedback loops work.
  • Build causal inference and experimentation frameworks to measure business impact.
  • Work with engineering on architecture for shared data layers, feature pipelines, modeling APIs, experimentation infrastructure, and production ML services.
  • Design and deliver experiments for changes intended to improve business metrics.
  • Advance business-focused data science that combines causal inference, experimentation, risk-aware modeling, and scalable production ML.
  • Find high-impact opportunities in marketplace efficiency, customer experience, ETA accuracy, fulfillment reliability, pricing, supply planning, demand forecasting, and operational performance.
  • Prototype and test models and insights, shape their architecture, and put them into operation to improve business metrics.

Талаптар

  • At least 8 years of industry experience with a master’s degree, or 6 or more years with a PhD, in statistics, economics, applied mathematics, computer science, data science, machine learning, or a related quantitative field.
  • Demonstrated success applying data science and machine learning to complex business challenges.
  • Advanced knowledge of causal inference, experimentation, and statistical modeling.
  • Strong judgment on business and product trade-offs.
  • Proficiency in Python, data analysis, visualization, and object-oriented programming for scalable, production-ready code.
  • Track record of deploying data science, machine learning, or causal inference systems to production.
  • Fluency in SQL or comparable tools for querying production-scale datasets directly.
  • Experience mentoring and setting technical direction for scientists, analysts, or engineers.
  • Experience leading the end-to-end design of data science, machine learning, measurement, or experimentation frameworks.
  • Experience designing causal measurement approaches for complex systems.
  • Background in causal inference, econometrics, Bayesian modeling, experimental design, or observational measurement.
  • Experience with applied experimentation methods such as A/B tests, power analysis, heterogeneous treatment effects, guardrail metrics, interference effects, and long-term impact measurement.
  • Experience building or shaping production machine learning systems.
  • Ability to align product, engineering, operations, business, and data science teams around a shared strategy.
  • Experience setting strategy and technical roadmaps for data science, machine learning, experimentation, or causal inference platforms.

Артықшылықтар

  • Equity
  • 401(k) retirement plan
  • Choice of medical, dental, and vision plans
  • Company-paid short- and long-term disability coverage
  • Paid time off, including flexible time off for exempt employees
  • Paid vacation for non-exempt employees
  • Paid sick leave in accordance with applicable law
  • Paid parental leave
  • Discounted meals
  • Exclusive perks across the Wonder family of brands

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