Data Scientist, Reputation Marketing and Insights

Amazon • New York, NY • 6h ago

Description

The CCR Reputational Marketing & Insights (RMI) Data Scientist will be responsible for developing innovative measurement solutions to optimize a robust paid marketing program spanning paid digital, social, and addressable channels. Our team is single-mindedly focused on building an industry-leading program that changes minds on important issues relevant to our brand. Success is driven by offline outcomes that are exceptionally difficult to capture and measure. Though randomized-controlled trials that rely on surveys, our team measures when our media is effective through attitudinal change. We do not determine success through traditional direct-response metrics like sales, conversions or signups. Nor do we rely on engagement metrics like clicks, comments, or likes. Instead, the Data Scientist will work with multiple vendor partners, our Operation and Tech team, and various technical and non-technical stakeholders to develop models and solutions that marry survey data, media data, and other inputs into actionable insights that allow RMI to both determine ROI of its paid media program, and optimize it for further impact.

Key job responsibilities

We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and survey analysis. You will work across a diverse team of media strategists, researchers, and creative producers to find areas where data can drive strategy and measurement, including building models from the ground up that provide critical inputs into large scale budget and media buying decisions. You should have strong communication skills, and be able to work closely with both technical and non-technical stakeholders to explain your methods and insights. You will leverage a suite of modern AWS technologies, including AWS Clean Rooms, in-house GenAI tools, AWS SageMaker, and more to implement innovative methodologies and techniques. Above all, you should be passionate about working with data sets ranging from small to huge, and someone who loves finding and delivering actionable results from data quickly and efficiently.

Basic Qualifications

2+ years of data scientist experience

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2

Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

Expertise with working with survey data, including various weighting methods, survey design, and text analysis.

Preferred Qualifications

Experience in Python, Perl, or another scripting language

Experience in a ML or data scientist role with a large technology company

Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations

Comfort with the digital advertising ecosystem, including knowledge of how paid marketing campaigns are built, trafficked, monitored, and optimized.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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