Data Scientist, LM Simulations Engineering, AMZL Simulations & Analytics Engineering

Amazon; San Francisco (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

A leading e-commerce company in San Francisco is seeking a Data Scientist to optimize and enhance its complex delivery network. This role involves developing statistical and machine learning models, designing global experiments, and collaborating with engineers to solve high-impact problems. The ideal candidate thrives in a fast-paced environment, translating business challenges into scalable solutions. Strong skills in statistical analysis and machine learning are essential for success in this position.

Qualifications

• Experience with statistical modeling and machine learning techniques.
• Ability to design and conduct global experiments.
• Strong communication skills for collaborating with diverse teams.

Responsibilities

• Own the Data Science/ML roadmap and enhance the customer experience.
• Translate business challenges into mathematical models and data solutions.
• Deliver scalable solutions through collaboration with engineers and scientists.

Skills

Statistical analysis

Machine learning

Collaboration

Problem-solving

Experiment design

Job description

Data Scientist, LM Simulations Engineering, AMZL Simulations & Analytics Engineering

Job ID: 3171109 | Amazon.com Services LLC

Amazon's Last Mile Simulation and Analytics Team is seeking a Data Scientist to help design and optimize the world's most complex delivery network. You'll partner with process engineers, design engineers, simulation scientists, and innovation teams to solve high-impact problems across both greenfield and brownfield initiatives.

In this role, you'll own the Data Science/ML roadmap—developing statistical and machine learning models, designing global experiments, and discovering new ways to enhance the customer experience. You'll translate ambiguous business challenges into mathematical models, contribute to discrete event simulations, and deliver solutions that scale. Success requires thriving in a fast-paced, collaborative environment while aligning