Sr. DSP Analytics Scientist, Ads Science & Analysis Team

Key Skills

Java Programming, Python Programming, SQL, Big Data Technology, Business Intelligence, Data Mining, MATLAB Programming, Data Analytics, SAS, Large scale data processing, Mathematica

Job Description

We are seeking a Senior DSP Analytics Scientist to further the development and application of analytics methods to examine the complex data flows of the Demand Side Platform (DSP), and to translate deep dives into actionable insights for our product teams. In this role you will develop new tools to analyze our advertising data to help improve the performance of our bidding algorithms, targeting and relevance systems, advance our 3rd party and O&O supply strategy, and evaluate the adoption and impact of feature releases.

Key job responsibilities

• Analyze data that affect campaign delivery and performance and contribute to achieving advertiser goals.
• Present analytical papers to senior leaders highlighting insights that inform our business development and engineering roadmaps.
• Formalize our analytics approach to the DSP auctions by analyzing bid spreads, auction depth, and simulating impacts of potential auction structure changes.
• Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities.
• Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.
• Validate financial models through analysis.
• Develop and own ad revenue and supply intelligence analytics reports that provide ongoing deep-dives.

About the team

In ASAT we use practical science, we apply an objective perspective with business acumen to uncover insights, advise strategic decisions, and adjust to industry changes. We change and advance the thinking, strategy, and investments made by the Amazon Ads business through quantitative truth.

BASIC QUALIFICATIONS

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

• Masters degree or equivalent experience in a field that has significant emphasis on quantitative methods such as statistics, or mathematical optimization.
• Solid business judgment capable of driving an organization to the right results with a focused, pragmatic, approach to data analytics.
• Experience operating successfully in a fast-paced, results-oriented environment, and having the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of alternatives.
• Close familiarity and understanding of programmatic advertising systems and processes required to turn a bid request from a publisher into an ad seen by a person.

PREFERRED QUALIFICATIONS

• 4+ years’ of experience in advertising analytics or a related analytical field, or an equivalent combination of education and experience
• The ideal candidate will have lead large scale analytics initiatives and has experience with digital advertising and DSPs
• Knowledge of Big Data data mining and business intelligence techniques
• Familiarity with managing large-scale regulatory data requests from world wide government agencies
• Experience with proactively identifying new areas of exploration in the advertising analytics space, continuously raising the bar for business impact