Senior Data Scientist, ADE Science
4 days ago
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 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 will work with complex data, develop statistical methodologies, and provide critical product insights that shape how we build and optimize our solutions. You will collaborate closely with Analytics and Applied Science teammates, building frameworks and mechanisms to scale data solutions across the organization.
Key Job Responsibilities
- 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, directly improving the customer experience.
- Independently work with product partners to identify problems and opportunities, applying a range of data science techniques and tools to solve them.
- Use data‑driven insights to inform product development and mechanize solutions 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 necessary SQL / ETL queries.
Communication
- Excel at communicating complex ideas to technical and non‑technical audiences.
- Build relationships with stakeholders and counterparts, translating causal insights into actionable recommendations.
- Force‑multiply the team’s work with data visualizations, presentations, and dashboards to drive awareness and adoption of data assets and product insights.
- Collaborate with cross‑functional teams and mentor teammates to foster a culture of continuous learning and development.
Basic Qualifications
- 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, MATLAB).
- 4+ years of data scientist experience.
- Experience with statistical models such as multinomial logistic regression.
- Experience documenting modeling for technical and business leaders.
Preferred Qualifications
- 2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc.
- 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.
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.
Posted: December 3, 2025 (Updated 4 days ago)
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