Amazon.com Services LLC Looking For Sr. Research Scientist at Herndon, VA Full Time

PhD or equivalent Master’s degree plus 5+ years of research experience in a quantitative field

3+ years experience investigating the feasibility of applying scientific principles and concepts to business problems and products

Experience in as many of the following areas: causal inferencing, multi-variate testing & design, A/B testing & design, descriptive analytics, and regression analysis.

Good understanding of supervised and unsupervised learning models.

Job summary

Amazon Advertising is one of Amazon’s fastest growing and most profitable businesses. Amazon’s advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.

This opportunity is for the Advertising Forecasting Science team, which consists of scientists and engineers based in Palo Alto, California and New York City. The team builds forecasting models for advertising campaigns and financial planning, with revenue exceeding tens of billions of dollars. In addition, the forecasting science team makes auction prediction and handles bid optimization for billions of requests per day, impacting the company’s performance directly using advanced Machine Learning algorithms.

As a Senior Research Scientist, and team leader, you will:
Drive data science (machine learning) projects end-to-end – from ideation, analysis, prototyping, development, metrics, and monitoring.

Conduct deep analyses on massive Ad user and contextual data sets

Propose viable modelling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results.

Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions.

Design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting.

Stay familiar with the field and apply state-of-the-art Machine Learning techniques to our domain problems, around forecasting, bidding, allocation, and optimization.

Produce peer-reviewed scientific paper in top journals and conferences.

Present results, reports, and data insights to both technical and business leadership.

Work across teams and lead a group of talented scientists and engineers to solve problems in the domains of forecasting, auction theory, bid optimization, and user clustering.

Why you will love this opportunity: Amazon is investing 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

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.

The minimum pay for this position in New York City is $160,000 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. This information is provided per the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.

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.