Senior Staff Data Scientist: Lead ML Strategy & Production

Grubhub Holdings Inc.

New York (NY)

Hybrid

USD 240.000 - 250.000

Vollzeit

Vor 8 Tagen

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Benefits dieser Stelle

Equity
401(k)
Medical plan
Dental plan
Vision plan
Disability insurance
Paid time off
Parental leave
Meal discounts
Exclusive perks

Zusammenfassung

Wonder is seeking a Senior Staff Data Scientist in New York to shape strategic applied data science, mentor scientists, and collaborate with engineering and product teams to productionize ML and analytics. The role focuses on high-impact opportunities across marketplace efficiency, customer experience, ETA accuracy, and optimization strategies.

You will design robust causal inference and experimentation frameworks, guide business strategy through measurement, and ensure models move business

Qualifikationen

  • 8+ years of industry experience with advanced degree in a quantitative field or 6+ years with PhD.
  • Proven data science and ML experience solving complex business problems in marketplaces or platforms.
  • Deep expertise in causal inference, experimentation, and statistical modeling.

Aufgaben

  • Define principles and best practices for data science, experimentation, and measurement.
  • Mentor scientists and contribute to technical excellence across the group.
  • Lead exploration of marketplace systems and causal frameworks to drive business impact.
  • Partner with engineering on architecture, deployment, and monitoring of production ML systems.

Kenntnisse

Causal inference
Experimentation
Python
SQL
Leadership

Ausbildung

MS or PhD in Statistics / Applied Mathematics / Economics / CS

Tools

None

Jobbeschreibung

Wonder is seeking a Senior Staff Data Scientist in New York to shape strategic applied data science, mentor scientists, and collaborate with engineering and product teams to productionize ML and analytics. The role focuses on high-impact opportunities across marketplace efficiency, customer experience, ETA accuracy, and optimization strategies.

You will design robust causal inference and experimentation frameworks, guide business strategy through measurement, and ensure models move business

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