Back to Job Listings

Lead Data Scientist

SpringCube

Full time - Principal Engineer

Logistics & Transportation

United States, San Francisco - California

Published 6 days ago

Salary: Disclosed upon interview

Contact Employer
  • Share:
  • ✕

    Added this job to list, send job list to your email

    Send
Send Feedback
Report This Job

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 platform is seeking a Lead Data Scientist to join its Analytics team. The company leverages advanced analytics to optimize operations across a global marketplace, driving customer acquisition, supply-demand balance, fraud prevention, marketing efficiency, and overall operational effectiveness. The team provides actionable insights that influence strategic decision-making and real-world business outcomes.

About the Role
The Lead Data Scientist will work closely with cross-functional teams to analyze complex datasets, develop experiments, and turn insights into actionable recommendations. This role combines strategic thinking with hands-on analytics, influencing operational and product decisions across the marketplace. The position offers exposure to large-scale, data-driven challenges across customer acquisition, marketplace efficiency, fraud mitigation, and operational growth initiatives.

Responsibilities

  • Mentor and guide junior Data Scientists, providing technical and strategic leadership
  • Influence the Product and Operations roadmap through actionable data-driven recommendations
  • Interface with senior leadership to present insights and tackle complex business problems
  • Drive measurement strategy, define success metrics, and implement best practices for experiment design and statistical analysis
  • Develop strategic learning roadmaps based on data observations, hypotheses, and business questions
  • Collaborate with cross-functional teams to operationalize insights and recommendations

Qualifications

  • Degree in Mathematics, Physics, Statistics, Economics, Computer Science, or a related field
  • 8+ years of experience in Data Science and Product Analytics, preferably within related industries
  • Strong technical expertise and ability to lead through technical insight in a business context
  • Hands-on experience with experimentation and statistical analysis
  • Experience with data pipelines and analytics platforms
  • Excellent communication and cross-functional collaboration skills, including presenting complex findings to non-technical audiences
  • Demonstrated ability to exercise independent judgment and discretion in evaluating options and making informed decisions

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.

Other Jobs You May Like

SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

Quick Links
Contact Us
Linkedin
Tell us how we can improve
feedback@springcube.com

Copyright 2024 ©SpringCube Asia.

Linkedin
‹
 
Required 'Candidate' login to applying this job. Click here to logout And try again
 
 
 

Apply for this Job

  • Drop a resume file or click to upload.
    To upload file size is (Max 10Mb) and allowed file types are (.doc, .docx, .pdf)
    or
    Upload Resume
  • Upload Cover Letter

    To upload file size is (Max 3Mb) and allowed file types are (.doc, .docx, .pdf)

  • I accept the Terms, Community Guidelines

 

Account Activation

Before you can login, you must activate your account with the code sent to your email address. If you did not receive this email, please check your junk/spam folder. Click here to resend the activation email. If you entered an incorrect email address, you will need to re-register with the correct email address.

✕


      ✕

      You are already logged in as a .

      Logout