Research Scientist, Advertising Measurement And Optimization

Amazon.Com, Inc. Seattle , WA 98113

Posted 2 months ago

The Amazon Advertising Measurement team is looking for a research scientist to join our team to lead the development of statistical methods for ad measurement and optimization on social advertising for mass campaigns. This person in this role will be responsible for solving measurement and attribution problems to measure the effectiveness of advertising across channels and onsite . The successful candidate will be a daring hands-on self-starter, comfortable with ambiguity, humble to seek feedback and learn from junior team members, bold to think big, has solid attention to detail and believes in challenging himself to raise the bar continuously.

What you will own?

The incumbent will be responsible for inventing new approaches to measure and optimize the global marketing spend on fixed and variable channels and on

What you will influence?

The incumbent will influence models developed to measure and compare performance of offline, online and social channels in combination.

Specific responsibilities:

  • Build econometric models required to retrospectively measure the financial impact of marketing spend, and inform volume and mix of future spend

  • Ensuring that state of the art statistical methods and machine learning technology are deployed to measure effectiveness of video advertising on social media

  • Work closely with both business units and engineering teams to formulate measurement problems and associated technical solution strategies

  • Develop a library of measurement, decision making and machine learning algorithms to enable data-driven decision making

  • Support engineering teams to build tools and applications on our unique big data platform to efficiently generate and deploy insights into decision-making systems at Amazon

  • Raise the bar on applications of machine learning for advertising measurement and optimization

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Research Scientist Marketing Science R&D


Posted 2 days ago

VIEW JOBS 10/14/2019 12:00:00 AM 2020-01-12T00:00 Marketing Science R&D focuses on establishing step-change improvements to the efficiency of marketing on our platform. The team's expertise spans domains including causal inference, survey methodology, machine learning, cryptography, neuroscience and record linkage. We develop methodologies, design and prototype solutions, and partner with our engineering and product colleagues to scale these solutions such that millions of advertisers can benefit. We seek Research Scientists — both new PhD graduates and industry-experience leaders — to identify new opportunities and build scientifically rigorous systems that enable marketers to improve the efficiency of their advertising spend. Our team works across areas ranging from internal and external experimentation systems to our ads delivery optimization. We also invest towards privacy-preserving technologies for measurement and optimization that enhance technological guarantees for consumer privacy. In additional to leveraging scientific expertise to develop new products, team members are expected to build consensus across product, engineering and business stakeholders as to the strategic merit of our initiatives. RESPONSIBILITIES * Identify specific, high-impact opportunities to help marketers achieve greater efficiency and scale Develop and implement new methods or algorithms Assess the validity and rigor of new approaches, establishing scalable validation frameworks for ongoing evaluation Build cross-functional relationships with Engineering, Product and Analytics teams to shape long-term product roadmaps with a balance of scientific rigor and strategic considerations Learn new tools, systems and programming languages quickly as required by the particular project you are working on Develop patent applications, white papers, conference presentations, and publications that are broadly appealing and accessible beyond a core scientific audience MINIMUM QUALIFICATIONS * PhD in a quantitative field such as statistics, physics, economics or political science, or MS/MA degree with 4+ years of experience in data science or research science Proven track record of innovation Knowledge of R, Python or Julia leveraging large (TB) datasets Experience in one of the following: Causal inference and experimentation, including addressing challenges from incomplete, unrepresentative, mislabeled and observational data Privacy technologies: e.g. data anonymization, differential privacy, homomorphic encryption, secure multi-party computation, federated learning, trusted execution environments, data minimization and management Record linkage, including propagation of uncertainty to downstream applications Modern machine learning techniques and their mathematical underpinning PREFERRED QUALIFICATIONS * Development experience specific to online advertising and/or experimentation platforms Proficiency with machine learning and advanced statistical modeling Proficiency with probabilistic programming languages such as Stan Proficiency with Presto, Hive or Spark SQL Experience developing and debugging in C/C++ and Java Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at Facebook Seattle WA

Research Scientist, Advertising Measurement And Optimization

Amazon.Com, Inc.