The Alexa Daily Essentials team delivers experiences critical to how customers
interact with Alexa as part of daily life. Alexa users engage with our products
across experiences connected to Timers, Alarms, Calendars, Food, and News. Our
experiences include critical time saving techniques, ad-supported news audio and
video, and in-depth kitchen guidance aimed at serving the needs of the family
from sunset to sundown.
As a Data Scientist on our team, you'll work with complex data, develop
statistical methodologies, and provide critical product insights that shape how
we build and optimize our solutions. You will work closely with your Analytics
and Applied Science teammates. You will build frameworks and mechanisms to scale
data solutions across our organization. If you are passionate about redefining
how AI can improves everyone's daily life, we’d love to hear from you.
Key job responsibilities
Problem-Solving
- Analyze complex data (including healthcare data, experimental data, and
large-scale datasets) to identify patterns, inform product decisions, and
understand root causes of anomalies.
- Develop analysis and modeling approaches to drive product and engineering
actions to identify patterns, insights, and understand root causes of anomalies.
Your solutions directly improve the customer experience.
- Independently work with product partners to identify problems and
opportunities. Apply a range of data science techniques and tools to solve these
problems. Use data driven insights to inform product development. Work with
cross-disciplinary teams to mechanize your solution into scalable and automated
frameworks.
Data Infrastructure
- Build data pipelines, and identify novel data sources to leverage in
analytical work - both from within Alexa and from cross Amazon
- Acquire data by building the necessary SQL / ETL queries
Communication
- Excel at communicating complex ideas to technical and non-technical audiences.
- Build relationships with stakeholders and counterparts. Work with stakeholders
to translate causal insights into actionable recommendations
- Force multiply the work of the team with data visualizations, presentations,
and/or dashboards to drive awareness and adoption of data assets and product
insights
- Collaborate with cross-functional teams. Mentor teammates to foster a culture
of continuous learning and development
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
- Experience documenting modeling for technical and business leaders Preferred
Qualifications: - 2+ years of data visualization using AWS QuickSight, Tableau,
R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience in data applications using large scale distributed systems (e.g.,
EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
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
[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 for this position ranges from $143,200/year up to $239,100/year.
Salary is based on a number of factors 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.
Applicants should apply via our internal or external career site.
