Sr. Data Scientist, Elevated Shopping

Amazon

Seattle, WA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Business Plan, Business Solutions, Business Strategy, Communication Skills, Computer Engineering, Computer Programming, Computer Science, Customer Experience, Data Analysis, Data Management, Data Science, Data Sets, Detail Oriented, Java, MATLAB, Machine Learning, Math Software, Mathematics, Mentoring, Metrics, Military, Online Advertising, Performance Analysis, Performance Tuning/Optimization, Process Development, Product Design, Product Documentation, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Requirements Management, SQL (Structured Query Language), Sales Pipeline, Scripting (Scripting Languages), Software Engineering, Statistical Analysis System (SAS), Statistical Modeling, Statistics, Statistics Software, Technical Leadership, Web Infrastructure
LOCATION
Seattle, WA
POSTED
2 days ago
Description Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy. Basic Qualifications - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Experience with statistical models e.g. multinomial logistic regression - Bachelor's degree or above in Math, Statistics, Computer Science, or related Science field, or Master's degree and 5+ years of professional or military experience - Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Experience in communicating with users, other technical teams, and management to collect requirements, evaluate alternatives and develop processes and tools as needed to support the organization Preferred Qualifications - Experience managing data pipelines - Experience as a leader and mentor on a data science team - 4+ years of processing large, multi-dimensional datasets from multiple sources experience - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience participating in or leading technical collaborations and creating alignment across diverse groups (e.g., hardware engineering, software engineering, program management) - - Strong programming skills in Python, Java, or related languages - - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. 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 - 159,200.00 - 215,300.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles