Prime Video offers customers a vast collection of movies, series, and sports - all available to watch on hundreds of compatible devices.
U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.
TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership.
More than 200 million Prime members in 24 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.
In Prime Video's Customer Relationship and Marketing Tech (CRMT) team, our mission is to build and scale a holistic customer relationship management program and deliver automated and personalized marketing messages to Prime Video customers worldwide.
Our team builds, maintains, and obsesses over our customer communication programs delivered in Prime Video’s owned marketing channels and surfaces, including customer emails, app push notifications, WhatsApp, and Amazon.
com promotions. Our vision is to make sure every Amazon customer is engaged with Prime Video and the Amazon ecosystem across all points of their lifecycle journey wherever they are.
As a Sr. Data Scientist in the Prime Video CRMT team, you will play a critical role in transforming the worldwide Prime Video marketing strategy and customer experience through building science solutions and collaborating with marketing leaders, as well as product and engineering teams.
Leveraging cutting-edge statistical techniques, machine learning, causal inference, experiment design, and customer lifecycle segmentation analytics, you will inform and guide business and product strategy, personalize and optimize marketing solutions for Prime Video customers, and deliver timely, relevant, and engaging content across a wide range of marketing channels.
Your innovative models will enable Prime Video to better understand customer needs and guide customers to discover content they'll enjoy.
We are seeking an experienced and passionate data scientist to join us in revolutionizing the entertainment industry and be part of a team that values innovation, customer needs, and measurable results.
Key job responsibilities
- Design, implement, experiment, deploy, maintain, and optimize innovative science solutions to enhance the marketing strategy and personalize the customer experience.
- Proactively seek out business opportunities and provide science-based frameworks and solutions. Automate and simplify processes and approaches where possible or necessary.
- Translate complex and ambiguous business problem statements into clear, actionable science frameworks, maintaining a high standard throughout execution.
- Collaborate closely with scientists, engineers, product managers, and marketing leaders to deliver impactful projects.
- Present complex analytical results and insights to both technical and non-technical stakeholders, translating data into actionable business strategies.
- Keep up-to-date with industry trends and drive innovation by exploring new technologies, methodologies, and best practices in data science and marketing analytics.
- Provide guidance and mentorship to junior data scientists, fostering a culture of learning and innovation within the team.
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
- 5+ years of data scientist experience
- Bachelor's degree
- Experience with statistical models e.g. multinomial logistic regression
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams, and business audiences
PREFERRED QUALIFICATIONS
- Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
- Experience as a leader and mentor on a data science team
- Experience with streaming video, content analytics, customer lifecycle analytics, and industry-scale machine learning models for marketing and recommendation systems
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