Senior Data Scientist, Amazon Leo

Amazon Leo is seeking a Senior Data Scientist to transform complex satellite, network, and customer terminal telemetry into actionable insights that drive system performance, reliability, and engineering Basic qualifications: - 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 - 4+ years of data scientist experience - Experience with statistical models e.g. multinomial logistic regression - Experience building large-scale, high-throughput, 24x7 data systems - Experience in functional or operational data analysis, based on large volumes of data - Experience in identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan, or experience in creating process improvements with automation and analysis - Experience in understanding performance metrics and developing them to measure progress against key performance indicators - Experience programmatically testing products, measuring test coverage, developing the best automation, driving testability and diagnostic - Experience developing tools, reports, process maps, scorecards, and data visualizations that improve upon those currently employed for understanding the business and making decisions - Experience using data, reporting, or tools to measure performance and make adjustments accordingly - Experience solving complex problems quantitatively and develop actionable data-driven business recommendations Preferred: - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Master's degree or equivalent in computer science, engineering, mathematics or equivalent, or experience in data science, machine learning or data mining - Experience in embedded wireless systems, or experience in machine learning, data mining, information retrieval, statistics or natural language processing - Experience troubleshooting and debugging technical systems, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience with AWS data warehouse and reporting technologies like Redshift, Athena, S3, etc. - Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval - Experience with data analytics platforms (Power BI, Python, SQL, Tableau), or experience in creating process improvements with automation and analysis - Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) - Experience in system design - Knowledge of network design, protocols and troubleshooting - Experience leading engineering teams as a mentor or tech lead - Knowledge of satellite communications, RF systems, networking protocols, or end-to-end communication system performance. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Redmond - 159,200.00 - 215,300.00 USD annually