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Manager, Data Science, Logistics Analytics

United States, Los Angeles - California

SpringCube

Full-time - Engineering Manager

Logistics & Transportation

Posted 3 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading on-demand delivery platform is seeking a Manager of Data Science to support logistics analytics across its operations. The organization focuses on providing seamless and reliable deliveries to customers, merchants, and drivers by leveraging predictive modeling, strategic analytics, and high-quality decision support. The team drives measurable business impact by shaping product, business, and operational strategies through data-driven insights.

Summary
The Data Science Manager will lead a team of data scientists in the logistics analytics function, providing high-impact analytics, predictive modeling, and strategic recommendations to influence product and business decisions. This role requires strong leadership, cross-functional collaboration, and the ability to translate complex questions into clear, actionable insights.

Responsibilities

  • Lead and develop a team of data scientists responsible for analytics, predictive modeling, and decision support
  • Partner with Strategy & Operations, Product, Engineering, and business leaders to shape decisions and influence roadmaps
  • Define success metrics, build measurement frameworks, and connect product and operational levers to business outcomes through experimentation and analysis
  • Build a high-performing team that balances analytical rigor, prioritization, and effective storytelling in a fast-paced environment
  • Scale reusable analytics frameworks, tools, models, and best practices to enhance organizational efficiency over time
  • Turn ambiguous business questions into clear recommendations that drive measurable impact

Qualifications

  • 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex projects from problem framing to recommendation
  • Experience managing and developing data scientists or analysts with high standards for quality, ownership, and impact
  • Strong analytical skills, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions
  • Excellent cross-functional partner and communication skills, capable of influencing stakeholders from working teams to senior leadership
  • Highly effective at prioritization and focusing the team on the highest-impact work in a dynamic, fast-moving environment

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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