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Senior Data Scientist – Last Mile Hybrid

SpringCube

Full time - Senior Engineer

Logistics & Transportation

United States, Boston - Massachusetts

Published 2 weeks ago

Salary: USD8,000 - USD10,000

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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 fast-growing logistics technology company is transforming the ecommerce delivery experience by building a modern, end-to-end infrastructure for brands and consumers. Leveraging AI, machine learning, and a vertically integrated supply chain, the company empowers ecommerce brands with control over deliveries, enhancing customer loyalty and retention.

Summary
The Senior Data Scientist will collaborate with a team of data scientists and machine learning engineers to design, build, and operate advanced models that optimize logistics networks and improve user experiences. This role requires both strategic thinking and hands-on technical expertise in AI/ML, data pipelines, and model deployment.

Responsibilities

  • Build reliable, efficient, and scalable models to support AI/ML capabilities
  • Evaluate the impact and effectiveness of models in production systems
  • Own live production machine learning systems end-to-end
  • Create robust data pipelines to feed analyses and models
  • Proactively identify opportunities for data science to influence product roadmaps
  • Partner with product managers and cross-functional teams to address high-value business problems

Qualifications

  • Bachelor’s Degree with at least 4 years of experience in data science or data engineering, or Master’s Degree with 2 years of experience
  • Strong Python and SQL skills
  • Experience using statistical modeling and machine learning techniques to solve business problems
  • At least 3 years of experience with open-source tools for large-scale data analytics (e.g., Python, NumPy) or distributed data processing systems (e.g., Spark, Ray)
  • At least 2 years of experience with analytical relational databases (e.g., Redshift, BigQuery, Snowflake)
  • At least 2 years of experience with cloud-based data engineering and data science tools (AWS preferred)
  • Experience with MLOps and model deployment pipelines
  • Comfort working with live systems composed of multiple models
  • Experience using AI to accelerate system development
  • Experience with multi-sided marketplaces or logistics is a plus

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

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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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.

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