Data Scientist II, POE

Amazon Science

Seattle (WA)

Vor Ort

USD 136.000 - 184.000

Vollzeit

vor 31 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health insurance
401(k) matching
Paid time off
Parental leave

Zusammenfassung

Amazon Science is seeking a Data Scientist II to build models predicting customer, seller, brand, and program outcomes. You will work at the intersection of predictive modeling, economic reasoning, and business strategy, collaborating with stakeholders to translate open-ended problems into actionable insights.

The role requires 3+ years of data science experience and strong SQL/Python skills. The team focuses onPOE-impactful decisions supporting growth and risk mitigation.

Qualifikationen

  • Master's degree or higher in econometrics, statistics, industrial engineering, operations research, or equivalent quantitative field.
  • 3+ years of data scientist experience.
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab).

Aufgaben

  • Build models that anticipate customer, seller, brand, and program outcomes.
  • Partner with business stakeholders to translate problems into well-defined scientific questions.
  • Develop predictive models that provide actionable insight for business growth and policy decisions.

Kenntnisse

SQL
Python
Statistics

Ausbildung

Master's degree or higher in quantitative field
PhD in STEM (preferred)

Tools

R
SAS
Matlab

Jobbeschreibung

Description

We are seeking a Data Scientist II with strong applied-science skills to join our Perfect Order Experience (POE) team. In this role you will build models that anticipate customer, seller, brand, and program outcomes, working at the intersection of predictive modeling, economic reasoning, and business strategy. You will partner closely with business stakeholders to translate complex, open-ended problems into well-defined scientific questions, and develop predictive models that turn those questions into actionable insight. Your work will directly inform how the business grows, protects customers and brands, and makes investment and policy decisions.

Description

We are seeking a Data Scientist II with strong applied-science skills to join our Perfect Order Experience (POE) team. In this role you will build models that anticipate customer, seller, brand, and program outcomes, working at the intersection of predictive modeling, economic reasoning, and business strategy. You will partner closely with business stakeholders to translate complex, open-ended problems into well-defined scientific questions, and develop predictive models that turn those questions into actionable insight. Your work will directly inform how the business grows, protects customers and brands, and makes investment and policy decisions.

Basic Qualifications
  • Currently has, or is in the process of obtaining, a Master's degree or above in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
  • 3+ years of data scientist experience
  • 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
Preferred Qualifications
  • Experience in a ML or data scientist role with a large technology company
  • Experience applying quantitative analysis to solve business problems and making data-driven business decisions
  • Experience effectively communicating complex concepts through written and verbal communication
  • Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)

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 a 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.

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.

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

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