Amazon Development Centre Canada ULC

Applied Science, Science, alexa and amazon devices

DataScientist,ADEAnalytics

CA$85–142k Vancouver, British Columbia, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist, ADE Analytics at Amazon Development Centre Canada ULC. Skills: Data Science, Statistical modeling, Product insights. Analyze complex data. Identify patterns”

What You'll Achieve.

Improve customer experience

Industry & Context.

Applied Science, Science, alexa and amazon devices
Problems you'll solve

Problem-Solving; Root causes; Anomalies

What They're Looking For.

Must Have

1+ years data querying languages, 1+ years scripting languages, 1+ years statistical/mathematical software, 2+ years data/research scientist, 2+ years statistician, 2+ years quantitative analyst, 1+ years creating mathematical textbooks, 1+ years creating research papers, 1+ years creating educational content, Master's degree in STEM, Experience working in STEM

Nice to Have

Ph. D. in STEM, Knowledge of statistical packages, Knowledge of business intelligence tools, Knowledge of machine learning concepts, Experience with clustered data processing, Experience evaluating AI systems, Experience applying quantitative analysis, Experience making data-driven business decisions

What You'll Do.

Inform product decisions

Understand root causes

Develop analysis approaches

Develop modeling approaches

Drive product actions

Drive engineering actions

Improve customer experience

Work with product partners

Identify opportunities

Inform product development

Work with cross-disciplinary teams

Build scalable frameworks

Build automated frameworks

Identify novel data sources

Communicate complex ideas

Translate causal insights

Make actionable recommendations

Force multiply team work

Collaborate with cross-functional teams

How You'll Work.

Team & Collaboration

Analytics teammates; Applied Science teammates; Product partners; Cross-disciplinary teams; Cross-functional teams

Communication Scope

Technical audiences; Non-technical audiences; Data visualizations; Presentations; Dashboards

Full Job 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

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