Senior Data Scientist, Video Advertising Analytics

Key Skills

Python Programming, SQL, A/B Testing, MATLAB Programming, R Programming, SAS, Statistical modeling, Mathematics, Hierarchical Clustering, K-Means clustering

Job Description

We are open to candidates located in:

Seattle, Washington

Palo Alto, California

Arlington, Virginia

As a Senior Data Scientist, you will be on the ground floor with your team, shaping the way performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business. You will work closely with Business Intelligence Engineers, Data Engineers, Product Managers, and Software Engineers to develop statistical and models, design and run experiments, and find new ways to to optimize the customer experience.

A successful candidate is highly analytical, able to work extremely effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that advertisers love. You must engage with customers to deeply understand their current and emerging needs. Video advertising is rapidly evolving and you must develop customer insight to identify solutions and invent on behalf of their customer. We are looking for someone customer obsessed and technology savvy - with a passion for advertising. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.

Key job responsibilities

• Experiment and process large scale datasets using distributed computing platform, mining insights from data and prototyping models that optimize towards various business goals and metrics.
• Design and deep dive experimentation to validate hypothesis and drive product improvements across partner teams.
• Conduct large scale A/B testing and offline/online experiments to evaluate performance of various programs
• Interact with cross-functional teams and make business recommendations i.e cost-benefit, forecasting, experiment analysis and present findings to leadership team.

About the team

Video advertising is a complex, multi-sided market with many technologies at play within the industry. The industry is rapidly growing and evolving as viewers are shifting from traditional TV viewing to OTT, and from terrestrial radio to streaming. In addition, publishers are increasingly adding video content to their online experiences. Amazon’s video advertising program is a rising competitor in this industry. Amazon’s service has differentiated assets in our customer & audience insights, exclusive video content and associated inventory on our streaming services (IMDbTV, Twitch, Prime Video, Amazon Music, etc.) and devices (FireTV, Echo, Fire Tablet) which all position us well as an end to end service for advertisers and agencies. As our business grows, we are continually experimenting with a portfolio of emerging ideas and technology as well as global expansion. We are looking for passionate, hard-working, and talented individuals to help foster these nascent ideas into scalable products and launch them into the market.

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

PREFERRED QUALIFICATIONS

• Master’s degree in a quantitative field
• Experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
• Practical understanding and hands-on experience with regression modeling (linear, logistic and time series) and unsupervised learning methods (K-means and hierarchical clustering)
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences
• Direct experience analyzing A/B experiments and experience building causal inference models
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

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