Data Scientist

Amazon Inc.; San Diego (CA); Presencial; USD 136.000 - 184.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Sign-on payments

Restricted stock units (RSUs)

Health insurance (medical, dental, vis

401(k) matching

Paid time off

Parental leave

Descripción de la vacante

Amazon Private Brands Selection Guidance is seeking an on-site Data Scientist to turn ambiguous business challenges into data-driven work, from early prototypes through production. You will collaborate with stakeholders, build data pipelines, and develop novel science solutions across NER, pricing optimization, and GenAI domains.

You will publish research results and help drive repeatable applied science practices, while guiding others on best practices and ensuring high-quality results across

Formación

• Master’s degree in STEM or equivalent experience.
• 2+ years of data scientist experience.
• 3+ years of experience with SQL, Python, or statistics software.
• 3+ years using ML and statistical modeling tools.
• 1+ years working with or evaluating AI systems.
• 1+ years creating or contributing to educational content.

Responsabilidades

• Partner with business stakeholders to understand APB problems and translate questions into defined science statements.
• Conduct data analysis and build data pipelines to support decision-making.
• Develop novel science solutions, prototypes, and deploy production software for business needs.
• Review and guide science solutions across the team to improve quality and repeatability.
• Publish and socialize research internally and externally as appropriate.
• Apply industry best practices to establish repeatable applied science processes.

Conocimientos

SQL

Python

R

SAS

Matlab

GenAI

Educación

Master’s degree in STEM

Ph.D. in STEM

Herramientas

SAS

Matlab

Perl

Descripción del empleo

In this onsite Data Scientist role at Amazon Private Brands Selection Guidance, you will turn ambiguous business challenges into data-driven science work, from early research prototypes through production implementation. The team investigates opportunities across named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models, with opportunities to guide others and publish results.

What you’ll do

• Partner with business stakeholders to understand APB business problems and translate unclear questions into defined science problem statements.
• Conduct data analysis and build data pipelines that support business decision-making.
• Develop novel science solutions, create prototypes, and deploy production software to address business needs.
• Review and guide science solutions across the team to improve quality and repeatability.
• Publish and socialize research internally across Amazon and through appropriate external channels.
• Apply industry best practices to establish repeatable applied science practices, principles, and processes.

Minimum qualifications

• Master’s degree in STEM (Science, Technology, Engineering, or Mathematics), or experience working in STEM.
• 2+ years of data scientist experience.
• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical and mathematical software (e.g., R, SAS, Matlab).
• 3+ years of experience using machine learning and statistical modeling tools and techniques, including understanding parameters that influence performance.
• 1+ years of experience working with or evaluating AI systems.
• 1+ years of experience creating or contributing to mathematical textbooks, research papers, or educational content.
• Experience applying theoretical models in an applied environment.

Technology focus

• SQL, Python, R, SAS, Matlab, Perl
• Large language models, Generative AI, Machine Learning, agentic AI

Preferred qualifications

• Ph.D. in STEM (Science, Technology, Engineering, or Mathematics).
• Knowledge of machine learning concepts for reasoning and problem-solving.
• Experience with Python, Perl, or another scripting language.
• Experience in a machine learning or data scientist role at a large technology company.
• Experience defining and creating benchmarks for assessing GenAI model performance.
• Experience delivering multi-team, cross-disciplinary projects.
• Experience applying quantitative analysis to solve business problems and make data-driven decisions.
• Experience communicating complex concepts through written and verbal communication.

Compensation and location

• Location: San Diego, CA (onsite)
• Base salary range: USD 136,000 - 184,000 per year
• USA, CA, San Diego listing: 136,000.00 - 184,000.00 USD annually

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription) including Basic Life & AD&D and options for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Los Angeles County applicants

• Work safely and cooperatively with employees, supervisors, and staff.
• Adhere to standards of excellence despite stressful conditions.
• Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service.
• Follow all federal, state, and local laws and Company policies.
• Criminal history may have a direct, adverse, and negative relationship with some of the material job duties, including the duties listed above, along with the abilities to adhere to company policies, exercise sound judgment, manage stress safely and respectfully, and safeguard business operations and the Company’s reputation.
• Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered.

Inclusive culture and accommodations

• If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for interview or onboarding, visit https://amazon.jobs/content/en/how-we-hire/accommodations.
• If the country or region you’re applying in isn’t listed, contact your Recruiting Partner.