Data Scientist

Job 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. 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!

The mission of Sponsored Products Supply team is to create delightful sponsored shopping experiences through seamless access to advertising supply and a deep understanding of the Amazon shopper. Our top priority is to earn trust with shoppers by creating useful discovery experiences while diligently protecting privacy. We do not show ads which breach shopper trust and tackle defects with the utmost urgency. We maintain a high bar on all aspects of the customer ad experience, including ads configuration and relevance; we pay close attention to customer anecdotes and actively seek customer feedback as part of the decision-making process.

As a Data Scientist on this team, you will:

• Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.
• Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
• Apply statistical and machine learning knowledge to specific business problems and data.
• Build decision-making models and propose solution for the business problem you define.
• 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.
• Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, 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.
• 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


Key job responsibilities
* Conduct hands-on data analysis, build large-scale machine-learning models (e.g., NLP, deep learning, and relevance ranking models for understanding of product ads and shoppers), and pipelines.
* Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.
* Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management.
* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
* Work closely with product management to contribute to our mission and vision and proactively identify opportunities where cutting edge science and research can help improve customer experience.
* Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences.
* Help attract and recruit technical talent.

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

• Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
• Broad knowledge of ML methods, statistical analysis, and problem-solving skills.
• Expert level knowledge in statistics and sophisticated user of statistical tools.
• Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive).
• Experience processing, filtering, and presenting large data sets (hundreds of millions/billions of rows).
• Combination of deep technical skills and business sense, to interface with all levels and disciplines within our customer’s organization.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
• Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.
• Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.
• Experience in computational advertising is a plus.

Preferred Qualifications

• Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
• Published research work in academic conferences or industry circles.
• Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
• Effective verbal and written communication skills with non-technical and technical audiences.
• Experience working with large real-world data sets and building scalable models from big data.
• Thinks strategically, but stays on top of tactical execution.
• Exhibits excellent business judgment; balances business, product, and technology very well.
• Experience in computational advertising.

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.