Data Scientist II, Selection Growth Science

Amazon Inc.; Asti; Ibrido; EUR 120.000 - 162.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

401(k) matching

Paid time off

Parental leave

Descrizione del lavoro

Amazon is seeking a Data Scientist II, Selection Growth Science, to advance Seller growth analytics. You will partner with business, product, and engineering teams to design data-driven solutions and scalable ML models that drive growth and improve the selling experience.

Strong candidates have 2+ years in data science, 3+ years in ML, and a PhD or equivalent in a quantitative field. The role is based in Seattle with competitive compensation and RSUs as part of the package.

Competenze

• 3+ years of experience with data querying languages (SQL) and scripting (Python) or statistical software (R/SAS/Matlab).
• 2+ years of data scientist experience.
• 3+ years of machine learning/statistical modeling and data analysis tools and techniques.
• Experience applying theoretical models in an applied environment.

Mansioni

• Identify opportunities to improve SP growth and translate into science problems.
• Design and execute roadmaps for complex science projects with measurable impact.
• Collaborate with engineering to meet latency and system constraints.
• Communicate science innovations to internal and external scientific communities.

Conoscenze

SQL

Python

R

Data science experience

ML / statistical modeling

Applied ML

Generative AI

AI product integration

Formazione

PhD in CS/Math/Stats/ML or equivalent

Descrizione del lavoro

Data Scientist II, Selection Growth Science

Join us in the evolution of Amazon's Seller business! The Selling Partner Selection Succ organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.

Key job responsibilities

• Identify opportunities to improve SP growth and translate those opportunities into science problems via principled GenAI solutions.
• Design and execute roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.
• Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
• Be responsible for communicating our science innovations to the broader internal & external scientific community.

Basic Qualifications

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 2+ years of data scientist experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Experience in a ML or data scientist role with a large technology company
• Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
• Experience identifying opportunities to integrate AI solutions into products and services to drive business value

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option 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

USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.