Sr. Applied Scientist, Amazon Business Ads

Amazon • New York, NY

1d

About The Position

Advertising at Amazon is growing incredibly fast and we are responsible for defining and delivering a collection of advertising products that drive discovery and sales. Amazon Business Ads is equally growing fast ($XXXMs to $XBs) and owns engineering and science for the AB WW ad experience. We build business-to-business (“B2B”) specific ad solutions distributed across retail and ad systems for shopper and advertiser experiences. Some include new ad placements or widgets, creatives, sourcing techniques, ad campaign management capabilities and much more! We consider unique AB qualities which are differentiated from the consumer experience such as varying shopper role types, purchasing complexities based on business size and industry (eg education vs healthcare), AB specific features (eg business discounts, buying policies to restrict and prefer products), and AB buyer behaviors (eg buying in bulk). We are seeking a scientific leader who can drive innovation in complex problem areas and new business initiatives. The ideal candidate will: Technical & Research Requirements: Demonstrate fluency in Python, R, Matlab or other statistical languages and familiarity with deep learning frameworks like PyTorch, TensorFlow Lead end-to-end solution development from research to prototyping and experimentation Write and deploy significant parts of scientifically novel software solutions into production Leadership & Influence: Drive team's scientific agenda by proposing new initiatives and securing management buy-in including PM, SDM Mentor colleagues and contribute to their professional development Build consensus on large projects and influence decisions across different teams in Ads Key Leadership Principles: Dive Deep: Uncover non-obvious insights in data Deliver Results: Create solutions aligned with customer and product needs Learn and Be Curious: Demonstrate self-driven desire to explore new research areas Earn Trust: Build relationships with stakeholders through understanding business needs

Requirements

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Responsibilities

• Lead end-to-end solution development from research to prototyping and experimentation
• Write and deploy significant parts of scientifically novel software solutions into production
• Drive team's scientific agenda by proposing new initiatives and securing management buy-in including PM, SDM
• Mentor colleagues and contribute to their professional development
• Build consensus on large projects and influence decisions across different teams in Ads
• Uncover non-obvious insights in data
• Create solutions aligned with customer and product needs
• Demonstrate self-driven desire to explore new research areas
• Build relationships with stakeholders through understanding business needs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees