Data Scientist, ADE Analytics

Job summary

Analyze complex data to identify patterns and root causes of anomalies to inform product decisions. Build scalable data pipelines and frameworks to provide actionable insights for Alexa's daily essential experiences.

Job details

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 Key job responsibilities Problem-Solving - 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 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: - 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.) experience - 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) Preferred Qualifications: - 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. 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 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. CAN, BC, Vancouver - 109,100.00 - 182,200.00 CAD annually

What you’ll do

Analyze complex data to identify patterns and root causes of anomalies to inform product decisions. Build scalable data pipelines and frameworks to provide actionable insights for Alexa's daily essential experiences.

Requirements

Requires 2+ years of experience in data science, SQL, scripting languages, and statistical modeling. A Master's degree in a STEM field or equivalent professional experience is required.

Benefits

• Health Insurance • Medical Insurance • Dental Insurance • Vision Insurance • Prescription Insurance • Basic Life & AD&D Insurance • Registered Retirement Savings Plan (RRSP) • Deferred Profit Sharing Plan (DPSP) • Paid Time Off

Listed skills

• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• R
• SAS
• Matlab
• Machine Learning
• Statistical Modeling
• Data Analysis
• ETL
• Data Visualization
• Data Pipelines
• Quantitative Analysis
• Problem Solving
• Stakeholder Management
• Communication
• Scripting
• Continuous Development
• Business Problems
• Time Off Management
• Business Decisions
• Data Analysis Tools
• Artificial Intelligence
• Amazon Alexa
• Analytics
• Applied Science
• Dashboard
• Customer Service
• Data Infrastructure
• Extract Transform Load (ETL)
• Perl (Programming Language)
• R (Programming Language)
• Scalability
• Python (Programming Language)
• Language Experience Approach
• MATLAB
• Mathematics
• Mathematical Software
• Medical Prescription
• New Product Development
• Presentations
• Restricted Stock
• SAS (Software)
• SQL (Programming Language)
• Verbal Communication Skills
• Data Science

Job areas

• Data & Analytics
• Technology
• Science & Research
• Software
• Engineering
• Data Scientist/Analytic Consultant
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists