jobapplier

Senior Data Scientist

Zipline

Skills

Required

  • machine learning
  • logistics
  • pricing
  • routing
  • fleet management
  • data science
  • statistical modeling / optimization / causal inference
  • Python / C/C++ / Go programming
  • SQL

Preferred

  • fleet utilization
  • charging strategy
  • experimentation
  • network planning
  • forecasting
  • simulation
  • quasi-experiments
  • metric frameworks

Join Zipline, an innovative company revolutionizing the delivery service industry. As a Senior Data Scientist, you will play a crucial role in scaling our autonomous delivery service by tackling complex marketplace and operational decision problems. You will turn ambiguous questions into actionable models, experiments, and recommendations that will drive the growth of our network. This position requires a strong background in data science, machine learning, and applied statistics, as well as experience in marketplace, logistics, and fleet management.

Responsibilities

  • Lead analysis and decision systems for priority domains including pricing, routing, fleet utilization, charging strategy, experimentation, and network planning.
  • Build machine learning, statistical, optimization, forecasting, and simulation models for marketplace, operational, and product decisions.
  • Design and analyze A/B tests, quasi-experiments, causal studies, and metric frameworks to evaluate features, policies, and growth interventions.

Requirements

  • Experience with marketplace, logistics, mobility, delivery, pricing, routing, fleet management, or similarly complex operational systems
  • 6+ years of experience in data science, machine learning, applied statistics, operations research, economics, or a related analytical field
  • A quantitative degree in computer science, statistics, mathematics, operations research, economics, engineering, physics, or a related field; advanced degree preferred, not required
  • Experience applying machine learning, statistical modeling, optimization, or causal inference to real-world product or business problems
  • Strong Python, C/C++, or Go programming skills, plus SQL proficiency and experience working with large, complex datasets
  • Experience designing and interpreting experiments, including A/B tests, multiarm bandits, power analysis, metric design, and ambiguous causal results
  • Ability to build usable, explainable models and tools and to drive work from problem definition through measurable business impact

Pay

USD 160,000 - 220,000