Senior Data Scientist, Amazon Advertising Job at Amazon in Los Angeles

Description

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

As a Senior Data Scientist on this team you will:

• Lead Data Science solutions from beginning to end.

• Deliver with independence on challenging large-scale problems with complexity and ambiguity.

• Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.

• Build Machine Learning and statistical models to solve specific business problems.

• Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.

• Analyze historical data to identify trends and support optimal decision making.

• Apply statistical and machine learning knowledge to specific business problems and data.

• Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.

• Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.

• Build decision-making models and propose effective solutions for the business problems you define.

• Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

Team video ~ https://youtu.be/zD_6Lzw8raE

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

• Bachelor's degree

• Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

In Summary: Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales . As a Senior Data Scientist on this team you will: Lead Data Science solutions from beginning to end. Deliver with independence on challenging large-scale problems with complexity and ambiguity . En Español: Descripción Amazon Advertising es uno de los negocios más rápidamente crecientes y rentables de Amazon, responsable de definir y entregar una colección de productos publicitarios que impulsan el descubrimiento y las ventas. Nuestros productos y soluciones son estratégicamente importantes para permitir a nuestros negocios en Retail y Marketplace impulsar el crecimiento a largo plazo. Llevamos miles de millones de impresiones de anuncios y millones de clics y rompemos terreno nuevo en innovaciones técnicas y comerciales cada día! Como un científico senior de datos en este equipo usted será: Liderazgo de la ciencia de datos desde principio hasta el final. Entrega con independencia sobre problemas desafiantes a gran escala con complejidad y ambigüedad. Escribir código (Python, R, Scala, SQL, etc.) para obtener, manipular y analizar datos. Construir modelos de aprendizaje automático y estadísticas para resolver problemas específicos de negocio. Recuperar, sintetizar y presentar datos críticos que sea útil inmediatamente para responder al sistema de trabajo o mejorar su rendimiento. Dadas anécdotas sobre anomalías o generar guiones automáticos para definir las anomalias, profundizar en explicar por qué ocurren y identificar soluciones. Construye modelos de toma de decisiones y proporcione soluciones efectivas a los problemas comerciales que defines. Realice presentaciones escritas y verbales para compartir conocimientos con audiencias de diferentes niveles de sofisticación técnica. Por qué te encantará esta oportunidad: Amazon ha invertido mucho en la construcción de un negocio publicitario de clase mundial. Este equipo define y entrega una colección de productos publicitarios que impulsan el descubrimiento y ventas. Nuestras soluciones generan miles de millones de ingresos e impulsan un crecimiento a largo plazo para las empresas minoristas y del mercado de Amazon. Este papel combina liderazgo científico, capacidad organizativa, fortaleza técnica, enfoque en el producto y comprensión de negocios. Video del equipo ~ https://youtu.be/zD_6Lzw8raE Qualificaciones básicas 5+ años de lenguajes de consulta de datos (por ejemplo SQL), lenguaje de guiones (p. ej., Python) o software estadístico / matemático ( por ejemplo R, SAS, Matlab, etc.) experiencia 4 + años de experiencia científica de datos Experiencia Licenciatura con modelos estatísticos como regresión logística multinomial Calificaciones preferentes 2 + años para visualizar los datos AWS QuickSight, Tableau, R Shiny, etc. Experiencia administrando pipelines de datos La experiencia como líder y mentor en un equipo de ciencias de datos Amazon es una igualdad de oportunidades y no discrimina a los supervisores de discapacidad protegida, veteranos u otras políticas legales Los empleados pueden cumplir sus obligaciones laborales; esto incluye la aplicación directa de las leyes federales de seguridad social y al personal, así como el uso exclusivo de esta situación laboral y otros deberes directos: Estos incluyen los deberes y responsabilidades enumerados anteriormente, así como las capacidades para adherirse a las políticas de la empresa, ejercer un buen juicio, manejar eficazmente el estrés y trabajar con seguridad y respeto con otros, mostrar fiabilidad y profesionalidad, y salvaguardar las operaciones comerciales y la reputación de la Compañía. De acuerdo con la Ordenanza Fair Chance del Condado de Los Ángeles, consideraremos candidatos calificados para empleo con antecedentes de arresto y condena. Nuestra cultura inclusiva empodera a los amazónicos para ofrecer los mejores resultados para nuestros clientes. Si usted tiene una discapacidad y necesita un alojamiento o ajuste en el lugar de trabajo durante el proceso de solicitud y contratación, incluyendo soporte para la entrevista o proceso de incorporación, visite https://amazon.jobs/content/en/we-hire/accommodations para obtener más información. Dependiendo del puesto ofrecido, la equidad, los pagos de inscripción y otras formas de compensación pueden proporcionarse como parte de un paquete total de compensaciones, además de una gama completa de beneficios médicos, financieros y/o otros. Para obtener más información, visite https://www.aboutamazon.com/workplace/employee-benefits .