Sr. Research Scientist, Advertising Measurement Research Job at Amazon in New Yo

Sr. Research Scientist, Advertising Measurement Research

Job ID: 2880364 | Amazon.com Services LLC

Amazon Advertising operates at the intersection of e-Commerce and Advertising, offering a range of digital advertising solutions with the goal of helping our customers discover and shop for anything they want to buy. The Amazon Advertising business is growing at a fast pace and this team’s mission is to apply science and technology to accelerate that growth through best-in-class solutions. As the Advertising Measurement Research (AMR) team within Amazon Ads, we conduct customer-relevant industry-leading research and metric development across advertisers and verticals, with the purpose of developing an understanding of how our advertisers’ investment impacts their businesses on- and off-Amazon.

We are seeking an experienced and highly motivated Sr. Research Scientist with strong research design and analytical skills in the fields of marketing and consumer research to join our team. You will lead the design and research to help advertisers and marketers understand the effectiveness of their advertising and improve performance of advertising campaigns by making adjustments to certain facets to achieve desired business outcomes. To accomplish this, you will partner with our measurement product and peer science and analytics teams to enable advertisers across industry verticals to adopt better measurement as a way to improve business outcomes, leveraging proven insights from existing literature and Amazon Ads’ measurement products and data. You will share your domain expertise and knowledge with data scientists on the AMR team, ensuring that their models are informed by the latest research and provide stakeholders with actionable insights. You are also responsible for developing new methodologies, which Data Scientists apply to emerging business problems. As a successful Research Scientist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in causal inference and experiment design, preferably has experience leveraging experimental model to calibrate observational model. You are a hands-on innovator who can contribute to advancing advertising measurement technology, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will coach and guide scientists in the team to grow the team’s talent and scale the impact of your work. You will also communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations.

Key job responsibilities

1. Conduct in-depth standard and custom advertising effectiveness studies and bespoke analyses using advanced statistical methods and causal inference techniques for advertisers to understand the relative impact of different marketing strategies across digital platforms and across media.
2. Communicate complex research results, insights, and recommendations with a diverse set of technical and non-technical stakeholders.
3. Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.
4. Collaborate with cross-functional partners, such as product, go-to-market, analytics and insights professional teams to drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the learning agenda.
5. Drive and lead a culture of data-driven innovations within and outside across Amazon Ads orgs.

About the team

The Advertising Measurement Research team designs and conducts research studies across advertisers and verticals, with the purpose of developing an understanding of how our advertisers’ investment impacts their businesses, both on- and off-Amazon. To benefit customers directly, we develop case studies or white papers, offering advertisers a comprehensive view of emerging measurement trends and best practices. Also, our work influences new product features and metrics to build.

BASIC QUALIFICATIONS

1. 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience.
2. PhD, or Master's degree and 5+ years of quantitative field research experience.
3. Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
4. Experience communicating qualitative research methods and findings to non-qualitative researchers.

PREFERRED QUALIFICATIONS

1. Experience converting research studies into tangible real-world changes.
2. Experience with discrete and continuous optimization methodologies and algorithms.

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit here.

#J-18808-Ljbffr