Description

We are open to candidates located in:

Seattle

As a Data Scientist, you will be on the ground floor with your team, shaping the way performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business. You will work closely with Data Engineers, Product Managers, Business Intelligence Engineers, and Software Engineers to develop statistical models, design and run experiments, and find new ways to to optimize the customer experience.

A successful candidate is highly analytical, able to work effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that enhances the PXF experience across multiple products. You must engage with customers to deeply understand their current and emerging needs.

PXF applications are rapidly evolving and our user base is rapidly expanding, as a DS on the team you will own diving into the different users personas and inventing on behalf of the app users to meet their needs. We are looking for someone who's customer obsessed and technology savvy - with a passion for app development work. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.

Key job responsibilities

• Partner with business stakeholders in formulating the business problem and providing recommendations on the approach

• Understanding customer behavior to personalize customer experience, build recommendation engines to provide relevant results to customers, customer lifecycle analysis and usage behavior

• Conduct large scale A/B testing and offline/online experiments to evaluate performance of various programs and drive product improvements across partner teams

• Own the science artifacts for the experimentation platform from pre-experiment to post analysis. The platform will be used by all Amazonians across the PXT org.

• Process large scale datasets using distributed computing platform to build models, mining insights from data and prototyping models that optimize towards various business goals and metrics

• Interact with cross-functional teams and make business recommendations i.e cost-benefit, forecasting, experiment analysis and present findings to leadership team

• Driving product roadmap and prioritizations of science projects with the PMs to improve customer experience

About the team

PXF builds the employee experiences that connect Amazonians, support them through their employment journey, and make Amazon Earth's Best Employer.

Our products include A to Z mobile application directly impacts the lives of associates by helping them identify the best shifts for their schedule, opportunities to pick up additional work, and choose when they get paid. We enable Amazon employees to easily find and access high-quality and authoritative content throughout their employment lifecycle through content management and Search capabilities.

We also provide employees with a dynamic and ever-evolving learning experience to protect, prepare, and advance their careers.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication 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

• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

• Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Preferred Qualifications

• Experience diving into data to discover hidden patterns and of conducting error/deviation analysis

• Experience in Python, Perl, or another scripting language

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.