Amazon
Senior Data Scientist, Ring Data Science and Engineering
Amazon, Seattle, Washington, us, 98127
Senior Data Scientist, Ring Data Science and Engineering
Job ID: 2775999 | Amazon.com Services LLCCome build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important?ABOUT RINGWe started in a garage in 2012 when our founder asked a simple question: what if you could answer the front door from your phone? After many late nights and endless tinkering, our first Video Doorbell was born. This invention has grown into over a decade of groundbreaking products and next-level features. At Ring, we’re committed to helping you be there for what matters.ABOUT THE ROLEThe Senior Data Scientist within Ring Data Science and Engineering plays a pivotal role in shaping how we carry the voice of our customers. This role will build scalable solutions and models to support our business functions (Subscriptions, Product, Customer Service). By leveraging statistical analysis and machine learning, you will explain, quantify, predict and prescribe to inform critical business decisions.Key job responsibilities
Drive shared understanding among business, engineering, and science teams of domain knowledge of processes, system structures, and business requirements.Apply domain knowledge to identify product roadmap, growth, engagement, and retention opportunities; quantify impact; and inform prioritization.Advocate technical solutions to business stakeholders, engineering teams, and executive level decision makers.Lead development and validation of state-of-the-art technical designs (data pipelines, data models, causal inference, predictive models, data insights/visualizations, etc).Contribute to the hiring and development of others.Communicate strategy, progress, and impact to senior leadership.A day in the life
Translate/Interpret complex datasets describing customer behavior, messaging, content, product design, and financial impact.Measure/Quantify/Expand critical data to support decision making.Improve upon existing methodologies by developing new data sources and fine-tuning model parameters.Explore/Enlighten by formalizing assumptions about user behavior and identifying anomalies.Utilize code (Python/R/SQL) for data analyzing and modeling algorithms.BASIC QUALIFICATIONS
Bachelor's degree4+ years of data scientist experience5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)Experience with statistical models e.g. multinomial logistic regression5+ years of hands-on experience in modeling and analysis, and in deploying machine learning / deep learning models in production.PREFERRED QUALIFICATIONS
Experience managing data pipelinesExperience as a leader and mentor on a data science teamKnowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer scienceDomain knowledge of comparable products and servicesAmazon 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.
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Job ID: 2775999 | Amazon.com Services LLCCome build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important?ABOUT RINGWe started in a garage in 2012 when our founder asked a simple question: what if you could answer the front door from your phone? After many late nights and endless tinkering, our first Video Doorbell was born. This invention has grown into over a decade of groundbreaking products and next-level features. At Ring, we’re committed to helping you be there for what matters.ABOUT THE ROLEThe Senior Data Scientist within Ring Data Science and Engineering plays a pivotal role in shaping how we carry the voice of our customers. This role will build scalable solutions and models to support our business functions (Subscriptions, Product, Customer Service). By leveraging statistical analysis and machine learning, you will explain, quantify, predict and prescribe to inform critical business decisions.Key job responsibilities
Drive shared understanding among business, engineering, and science teams of domain knowledge of processes, system structures, and business requirements.Apply domain knowledge to identify product roadmap, growth, engagement, and retention opportunities; quantify impact; and inform prioritization.Advocate technical solutions to business stakeholders, engineering teams, and executive level decision makers.Lead development and validation of state-of-the-art technical designs (data pipelines, data models, causal inference, predictive models, data insights/visualizations, etc).Contribute to the hiring and development of others.Communicate strategy, progress, and impact to senior leadership.A day in the life
Translate/Interpret complex datasets describing customer behavior, messaging, content, product design, and financial impact.Measure/Quantify/Expand critical data to support decision making.Improve upon existing methodologies by developing new data sources and fine-tuning model parameters.Explore/Enlighten by formalizing assumptions about user behavior and identifying anomalies.Utilize code (Python/R/SQL) for data analyzing and modeling algorithms.BASIC QUALIFICATIONS
Bachelor's degree4+ years of data scientist experience5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)Experience with statistical models e.g. multinomial logistic regression5+ years of hands-on experience in modeling and analysis, and in deploying machine learning / deep learning models in production.PREFERRED QUALIFICATIONS
Experience managing data pipelinesExperience as a leader and mentor on a data science teamKnowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer scienceDomain knowledge of comparable products and servicesAmazon 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.
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