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Manager, Data Science

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 technology-driven logistics and delivery platform is seeking a Data Science Manager to join its Merchant Analytics team. The company empowers merchants and consumers through data-driven insights, predictive modeling, and experimentation to improve decision-making, product outcomes, and business impact.

About the Role
The Data Science Manager will lead a pod within the Merchant Analytics team, guiding high-priority product and business decisions through analytics, predictive modeling, and strategic thought partnership. This role involves managing a team of data scientists, collaborating with Strategy & Operations, Product, Engineering, and business leaders, and turning ambiguous problems into actionable recommendations that drive measurable impact.

Responsibilities

  • Lead and develop a team of data scientists responsible for analytics, predictive modeling, and decision support aligned with key product, business, and go-to-market priorities
  • Partner closely with cross-functional teams to shape decisions, influence roadmaps, and improve critical metrics
  • Define success metrics, build measurement frameworks, and create predictive models to connect operational and product levers to business outcomes
  • Build a high-performing pod that balances analytical rigor, prioritization, and clear storytelling in a fast-moving environment
  • Scale reusable analytics frameworks, tools, models, and best practices to enhance organizational effectiveness

Qualifications

  • 6+ years of experience in analytics, data science, or related quantitative fields, including experience leading complex, ambiguous projects from problem framing through recommendation
  • Proven experience managing and developing data scientists or analysts, setting high standards for quality, ownership, and impact
  • Strong analytical fundamentals including experimentation, predictive modeling, metric design, and translating data into actionable business decisions
  • Excellent cross-functional communication and stakeholder management skills, able to tailor messaging from teams to senior leadership
  • Highly effective at prioritization, focusing team efforts on the highest-impact work in a fast-paced 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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