Data Scientist, ADE Analytics

Amazon; Vancouver; Presencial; CAD 85.000 - 142.000; Jornada completa

Descripción de la vacante

Amazon Development Centre Canada ULC in Vancouver, BC seeks a Data Scientist for the Alexa Daily Essentials team to develop statistical methodologies and scalable data solutions shaping customer experiences across Timers, Alarms, Calendars, Food and News.

You will collaborate with Analytics and Applied Science teammates to scale data capabilities, mentor peers, and translate insights into actionable recommendations that drive product improvements.

Formación

• 1+ 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 data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Responsabilidades

• 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.
• 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
• 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

Conocimientos

Data interpretation

Educación

Master's degree in STEM

PhD in STEM

Herramientas

SQL

Python

R

SAS

S-PLUS

SPSS

Hadoop

Spark

Hive

Descripción del empleo

Description

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 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

• 1+ 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 data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
• Experience working with or evaluating AI systems
• 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

CAN, BC, Vancouver - 85,200.00 - 142,300.00 CAD annually

Company

Amazon Development Centre Canada ULC

Job ID: A10577325