We are looking for a passionate Senior Data Scientist Intelligence Engineer to join a growing analytics team in the AWS Support Product and Global Business Development organization to help inform the direction of AWS Support and Amazon Managed Services through data at scale.
As a data scientist with the AWS Support Product team you will be shaping the way product performance is measured defining what questions should be asked and scaling analytics methods and tools to support our growing business leading the way for high quality high velocity decisions for your team. You will leverage your strong background in Data Science and Machine Learning to enable efficient datadriven decision. This role requires a pragmatic technical leader who is comfortable navigating ambiguous environments and is capable of effectively summarizing complex data analysis and modeling results through clear verbal explanations and written documentations.
Topics include (but are not limited to):
1. Product / Value Proposition design 2. Customer / Gotomarket 3. Customer Experience 4. Business Planning & Forecasting
Key job responsibilities Interact with product managers business teams and engineering teams to develop an understanding and domain knowledge of business requirements processes and system structures. Distill ambiguous product or strategy questions find clever ways to answer them and to measure the uncertainty; translate product and strategy questions into metrics and work with BIEs to dashboard these metrics. Design and evaluate A/B tests and experiments to measure the effectiveness of frontend product improvements and algorithmic machine learning systems. Produce adhoc reports and insights that help teams move forward with timesensitive product and strategy decisions. Maintain a culture of highquality output and engagement with team members; communicate technical information to technical and nontechnical partners; manage ad hoc requests and unexpected obstacles. Lead the project plan from a scientific perspective on product launches including identifying key milestones potential risks and paths to mitigate risks.
4 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience Bachelors degree or Masters degree 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience Experience as a leader and mentor on a data science team Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science Experience in forecasting analyses
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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