Amazon
Description
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
The Prime Video Shopping organization is looking for a full-stack data scientist to drive data-powered innovation to our video streaming and shopping experiences. This role will partner closely with product and software engineering teams to build end-to-end data science solutions that involve predictive models, causal inference, large scale data storage and retrieval, and data visualizations - propelling the creation of new groundbreaking customer experiences.
The ideal candidate thrives working with large volumes of data, enjoys the challenge of highly complex technical contexts, and is passionate about data and analytics. The candidate is a well-rounded data scientist with broad skills across data engineering, advanced analytics, statistics, applied ML, and passionately partners with the business to identify strategic opportunities where data science creates large-scale business impact. The candidate should be a self-starter; comfortable with ambiguity, able to think big, and enjoy working in a fast-paced and global team. It’s a big ask, and we’re excited to talk to those up to the challenge!
Key job responsibilities
· Leverage advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets
· Develop and optimize models to improve the Prime Video Shopping experience
· Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
· Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases
· Partner with product and business stakeholders to identify strategic data-driven opportunities to improve the customer experience
· Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders
· Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization
Basic Qualifications
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
4+ years of data scientist experience
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
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
Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
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.
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.
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
The Prime Video Shopping organization is looking for a full-stack data scientist to drive data-powered innovation to our video streaming and shopping experiences. This role will partner closely with product and software engineering teams to build end-to-end data science solutions that involve predictive models, causal inference, large scale data storage and retrieval, and data visualizations - propelling the creation of new groundbreaking customer experiences.
The ideal candidate thrives working with large volumes of data, enjoys the challenge of highly complex technical contexts, and is passionate about data and analytics. The candidate is a well-rounded data scientist with broad skills across data engineering, advanced analytics, statistics, applied ML, and passionately partners with the business to identify strategic opportunities where data science creates large-scale business impact. The candidate should be a self-starter; comfortable with ambiguity, able to think big, and enjoy working in a fast-paced and global team. It’s a big ask, and we’re excited to talk to those up to the challenge!
Key job responsibilities
· Leverage advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets
· Develop and optimize models to improve the Prime Video Shopping experience
· Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
· Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases
· Partner with product and business stakeholders to identify strategic data-driven opportunities to improve the customer experience
· Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders
· Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization
Basic Qualifications
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
4+ years of data scientist experience
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
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
Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
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.
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.