Senior Applied Scientist, Advertising Incrementality Measurement

Key Skills

Apache Hadoop, C++, JavaScript, MxNet, NumPy, Perl Programming, Python Programming, Scikit-learn, SciPy, Spark-SQL, SparkML, TensorFlow

Job Description

Amazon Advertising is looking for a motivated and analytical self-starter to help pave the way for the next generation of insights and advertising products.

You will use large-scale data, advertising effectiveness knowledge and business information needs of our advertising clients to envision new advertising measurement products and tools. You will facilitate innovation on behalf of our customers through end-to-end delivery of measurement solutions leveraging experiments, machine learning and causal inference. You will define our machine learning operations and partner with our engineering teams to develop and scale successful solutions to production.

This role requires strong hands-on skills in terms of effectively working with data, coding, and MLOps. However, the ideal candidate will also bring strong interpersonal and communication skills to engage with cross-functional partners, as well as to stay connected to insights needs of account teams and advertisers.

This is a truly exciting and versatile position in that it allows you to apply and develop your hands-on data modeling and coding skills, to work with other scientists on research in new measurement solutions while at the same time partner with cross-functional stakeholders to deliver product impact.

Key job responsibilities

As a Senior Applied Scientist on the Advertising Incrementality Measurement team you will:

• Create new analytical products from conception to prototyping and scaling the product end-to-end through to production.
• Scope and define new business problems in the realm of advertising effectiveness. Use machine learning and experiments to develop effective and scalable solutions.
• Partner closely with the Engineering team to define our machine learning operations.
• Partner with Economists, Data Scientists, and other Applied Scientists to conduct research on advertising effectiveness using machine learning and causal inference. Make findings available via white papers.
• Act as a liaison to product teams to help productize new measurement solutions.

About the team

Advertising Incrementality Measurement combines experiments with econometric analysis and machine learning to provide rigorous causal measurement of advertising effectiveness to internal and external customers.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Boulder, CO, USA | New York, NY, USA | Santa Monica, CA, USA

BASIC QUALIFICATIONS

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

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.