Data Scientist, ADE Analytics – Amazon – Vancouver, BC

The Data Scientist, ADE Analytics role at Amazon in Vancouver, BC is a full-time position on the Alexa Daily Essentials team. The base salary range is $85,200 to $142,300 CAD per year.

You’ll analyze complex data, build modeling approaches and turn product insights into recommendations for Alexa experiences such as Timers, Alarms, Calendars, Food and News. You’ll work alongside Analytics and Applied Science teammates.

About the Role: Data Scientist, ADE Analytics

The Alexa Daily Essentials team builds the Alexa features people use through the day, from timers and alarms to calendars, food and news.

Those features include time-saving tools, ad-supported news audio and video, and in-depth kitchen guidance for families. As the Data Scientist, you’ll develop statistical methodologies and provide product insights that shape how these solutions are built and improved.

You’ll also build frameworks and mechanisms that scale data solutions across the organization. The work is done with Analytics and Applied Science colleagues and with cross-disciplinary teams, and the team is looking for people interested in how AI can improve everyone’s daily life.

Benefits and Salary

The base salary for this Vancouver position runs from $85,200 to $142,300 CAD annually. Amazon describes itself as a total compensation company, so the package may also include sign-on payments and restricted stock units (RSUs). Final compensation depends on experience, qualifications and location.

Benefits listed include health insurance (medical, dental, vision, prescription, basic life and AD&D insurance), a Registered Retirement Savings Plan (RRSP), a Deferred Profit Sharing Plan (DPSP), paid time off and other resources for health and well-being.

Responsibilities

The duties fall into three areas: problem-solving with data, data infrastructure and communication with technical and non-technical partners. Your work is meant to feed product and engineering decisions and to improve the customer experience.

• Analyze complex data to identify patterns, inform product decisions and find the root causes of anomalies.
• Develop analysis and modeling approaches that drive product and engineering actions and directly improve the customer experience.
• Work independently with product partners to identify problems and opportunities, apply a range of data science techniques and tools, and use the insights to inform product development.
• Mechanize your solutions into scalable, automated frameworks together with cross-disciplinary teams.
• Build data pipelines and find new data sources, both within Alexa and across Amazon.
• Acquire data by writing the SQL and ETL queries you need.
• Explain complex ideas to technical and non-technical audiences, and build relationships with stakeholders and counterparts.
• Translate causal insights into actionable recommendations, and multiply the team’s work with data visualizations, presentations and dashboards that drive adoption of data assets and product insights.
• Collaborate with cross-functional teams and mentor teammates to support continuous learning and development.

Requirements / Skills

The basic qualifications combine querying and scripting experience, data science experience at an internet-based company and a STEM master’s degree or equivalent STEM work experience. A Ph.D. and several specialized skills are listed as preferred, not required.

• 1+ years of experience with data querying languages (for example SQL), scripting languages (for example Python) or statistical/mathematical software (for example R, SAS, Matlab) (required).
• 2+ years as a data or research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources (required).
• 1+ years of creating or contributing to mathematical textbooks, research papers or educational content (required).
• Master’s degree in STEM, or experience working in Science, Technology, Engineering or Mathematics (required).
• Ph.D. in STEM (preferred).
• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS or R (preferred).
• Knowledge of machine learning concepts and how they apply to reasoning and problem-solving (preferred).
• Experience with clustered data processing such as Hadoop, Spark, Map-reduce and Hive (preferred).
• Experience working with or evaluating AI systems (preferred).
• Experience applying quantitative analysis to business problems and making data-driven business decisions (preferred).
• Experience communicating complex concepts well in writing and speech (preferred).

How to Apply

To apply, use the link below to reach the official Amazon job posting. Make sure your resume is up to date before you submit it.

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