Sr. Data Scientist

Hawthorne, California, USA

Full Time
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Posted 1 week ago

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

Basic Qualifications


· Bachelor’s Degree in a quantitative discipline (e.g., Statistics, Math, Computer Science, Data Science, Analytics, or similar)
· 5+ years working experience with data mining and advanced analytics
· 5+ years of experience in using predictive modeling to solve business problems
· 5+ years of experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and understanding of the real-world advantages/drawbacks
· 5+ years of experience with big data tools or analytical software (e.g., Athena/Presto, R or SAS)

Preferred Qualifications

· Master’s Degree in a quantitative discipline (e.g., Statistics, Math, Computer Science, Data Science, Analytics, or similar)
· 5+ years of Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
· 2+ years of experience with querying structured and unstructured data using tools like Athena, Spectrum and Redshift
· 3+ years of working with Tableau and Looker
· Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications


About Ring

Since its founding in 2013, Ring has been on a mission to make neighborhoods safer. From the video doorbell, to Ring Alarm, which was named #1 in Customer Satisfaction for DIY Home Security Systems by J.D. Power, Ring’s smart home security product line, as well as the Neighbors app, offer users affordable whole-home and neighborhood security. At Ring, we are committed to making home and neighborhood security accessible and effective for everyone -- while working hard to bring communities together. Ring is an Amazon company. For more information, visit www.ring.com. With Ring, you’re always home.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us//.



Job tags: Big Data Business Intelligence Data Mining Engineering Finance Looker Machine Learning Marketing Python R Redshift Research Security Tableau