Sr. Data Scientist Amazon
Santa Monica, CA

Job Description

Ring is looking for an insightful and analytical Data Scientist with strong business and technical skills to join our rapidly growing Business Intelligence team. In this role, you will be partners to various executive, product management, engineering, quality assurance, finance, logistics, shipping, sales and marketing teams that power Ring. Your work will be instrumental to achieving its mission, be highly visible to Ring / Amazon leadership, and will drive key strategic company goals.

You will develop advanced models and tools, conduct statistical analyses, evaluate large data sets, and create tailored predictive models and recommendation engines. Additionally, you will be instrumental in the championing data science within the organization. You will be structuring ambiguous problems and designing analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements to marketing campaign optimization, customer servicing trending, and competitive research.

Responsibilities:

* Selecting features, building and optimizing classifiers using machine learning techniques
* Evaluate clustering, decision tree learning, artificial neural networks, and educate the team on the real-world advantages/drawbacks.
* Processing, cleansing, and verifying the integrity of data used for analysis
* Creating automated anomaly detection systems, scoring systems and constant tracking of its performance
* Anticipate, identify, structure, and solve critical problems using predictive modeling.
* Partner with subject matter experts to document and understand the features and attributes to use them efficiently in the data models.
* Manage multiple projects and proactively communicate issues, priorities, and objectives
* Clearly communicate the model outputs to the executive staff and how we can use the model to make business decisions.
* Partner with subject matter experts to document and translate business requirements into technical requirements