Amazon Devices Sales and Customer Experience is looking for a talented Data Scientist to help invent, design, and deliver cutting-edge science solutions to make it easier for millions of customers to find their next Amazon Device they will love. In this role you will:
– Be a part of a growing and vibrant team of scientists, economists, engineers, analysts, and business partners.
– Use Amazon’s large-scale computing and data resources to generate deep understandings of our customers, and products.
– Build models to generate customer insights and recommendations; run large scale A/B tests to test your hypothesis.
– Design, implement, and deliver novel solutions to some of Amazon’s oldest problems.
Key job responsibilities
We are looking for an innovative, hands-on and customer-obsessed Scientist who can be a strategic partner to the product managers and engineers on the team. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, is motivated to build solutions that scale, and possesses strong communication skills to effectively interface between technical and business teams.
In this role, you will be a technical expert with massive impact. You will take the lead on developing
advanced solutions that are key to reaching our customers with the right recommendations at the right time. Your work will directly impact the success of Amazon’s growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical science problems, building high quality, reliable, accurate, and consistent code sets that are aligned with our business needs.
Key Performance Areas
– Implement statistical or machine learning methods to solve specific business problems.
– Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
– Build customer-facing reporting tools to provide insights and metrics to track model performance and explain variance
– Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback
A day in the life
You will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development and delivery.
About the team
We are a full stack science team that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against our customer’s expectation. Our focus area is to build analytical frameworks that help the organization either access data, better understand the decisions customers are making and why, or assess customer satisfaction.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Bellevue, WA, USA
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
PREFERRED QUALIFICATIONS
– Experience managing data pipelines
– Experience documenting modeling for technical and business leaders
– Experience in survey design and datasets
– Experience with unstructured textual data
– Experience working with data engineers and business intelligence engineers collaboratively
– Experience as a leader and mentor on a data science team
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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/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. Applicants should apply via our internal or external career site.