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Senior data analytics professional

Sydney
beBeeData
Posted: 13 December
Offer description

Job Overview

We are seeking a talented data scientist to join our team of economists, analysts and engineers. Our goal is to tackle a wide range of questions including pricing, experimentation science, personalization, data-driven product strategy/optimizations, internal productivity/incentives, and impact/ROI measurement.



Key Responsibilities

* Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our partners, markets, and products/services in context of private pricing.
* Use machine learning, data mining, and statistical techniques to design/run experiments that solve complex business problems.
* Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
* Build data pipelines, and identify novel data sources to leverage in analytical work – both from within Healthcare and from 3P sources.
* Force multiply the work of the team with compelling data visualizations, presentations, and/or dashboards to drive awareness and adoption of data assets/products/insights.



About Us

Our mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we are building technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.



Basic Qualifications

* 2+ years of data scientist experience
* 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
* 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
* 1+ years of guiding and coaching a group of researchers experience
* 1+ years of working with or evaluating AI systems experience
* Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)



Benefits

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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