Data Scientist, ADE Analytics

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.

• Analyze complex data to identify patterns, inform product decisions, and understand root causes of anomalies.
• Develop analysis and modeling approaches to drive product and engineering actions, uncovering insights that directly improve the customer experience.
• Independently work with product partners to identify problems and opportunities, applying a range of data science techniques and tools to solve these problems.
• Use data‑driven insights to inform product development and work with cross‑disciplinary teams to mechanize solutions into scalable and automated frameworks.

• Build data pipelines and identify novel data sources to leverage in analytical work—both from within Alexa and from cross‑Amazon initiatives.
• Acquire data by building the necessary SQL/ETL queries.

• Excel at communicating complex ideas to technical and non‑technical audiences.
• Build relationships with stakeholders and counterparts, collaborating 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 and mentor teammates to foster a culture of continuous learning and development.

• 2+ years of data scientist experience.
• 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.).
• 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect performance.
• Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or substantial STEM experience.

• Knowledge of machine learning concepts and their application to reasoning and problem‑solving.
• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.
• Experience working on multi‑team, cross‑disciplinary projects.
• Experience applying quantitative analysis to solve business problems and making data‑driven business decisions.
• Experience effectively communicating complex concepts through written and verbal communication.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well‑being.

We thank all applicants for their interest; however, only those interviewed will be advised as to hiring status.