Data Scientist, Global Video Supply Chain, Prime Video

Job summary
Prime Video is changing the way millions of customers interact with video content. Our team delivers high-quality video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals. Amazon believes so deeply in the mission of Video that we've launched our own studio to create original and exclusive content.

Every day we face the challenges of a fast-paced market and expanding technology set. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.

We’re looking for a Data Scientist to join the Prime Video Global Video Supply Chain team. Data Scientist's help us build the future of advanced analytics across the Prime Video Supply Chain.

You will partner with Business Intelligence Engineers, Data Engineers, and Software Engineering teams to drive experimentation, forward-looking insights, predictive modeling, and machine learning algorithms. You will build best-in-class forecasting solutions at scale.

If you have extensive experience with algorithmic demand forecasting, defect detection and algorithm development, think strategically and analytically about business, product, and technical challenges, if you can contribute to the development of current and future technical roadmaps and can build and communicate compelling value propositions, you will be successful in this role.

The position can be based out of markets with a Prime Video office:
· Seattle, Washington
· Culver City, California
· Arlington, Virginia
· Austin, Texas
· New York, New York

Key job responsibilities

• Implement code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems.
• Work with software engineering teams to productionize algorithms where appropriate.
• Lead the development of the scientific roadmap, guide and develop junior engineers in designing and implementing scientific solutions.
• Directly contribute to the design and development of scaled forecasting solutions via machine learning based demand forecasting techniques.
• Translate analytic insights into concrete, actionable recommendations for business or product improvement.
• Develop and present these as papers to senior stakeholders with ranging levels of technical knowledge.
• Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.
• Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building to deliver accurate and effective business insights.
• Innovate by researching, learning, and adapting new modeling techniques and procedures to existing business problems.
• Manage and execute entire project from start to finish including problem solving, data gathering and manipulation, predictive modeling, and stakeholder engagement.

About the team
Global Video Supply Chain (GVSC). Prime Video’s Global Video Supply Chain group owns the largest, richest catalog of video content in the world, available to customers as early as possible. We enable Prime Video customers all around the world to discover, purchase, and stream any title in any language anywhere.

Basic Qualifications

• Bachelor's Degree
• 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 2 years working as a Data Scientist

Preferred Qualifications

• PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
• Experienced in using data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, demand modeling, etc.), as well as key assumptions and parameters impacting performance.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results for large, cross-functional projects with evolving requirements.
• Demonstrated ability to communicate complex technical problems into requirements, and to communicate results and insights clearly to audiences of widely ranging technical depth.
• Extensive knowledge and practical experience in several of the following areas: machine learning, statistical modeling, NLP, deep learning, demand forecasting (statistical or algorithmic)
• Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.

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.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.