drjobs Data Scientist, Sponsored TV @Amazon ads

Data Scientist, Sponsored TV @Amazon ads

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Palo Alto, CA - USA

Yearly Salary drjobs

$ 125500 - 212800

Vacancy

1 Vacancy

Job Description

Want to work on building a Amazon Ads billion dollar business innovate on a new product and have a positive impact on millions of views while working with industry-leading technologies Were growing an team to support the Sponsored Ads business that powers the advertising experience for millions of viewers and advertisers daily.

Amazon is investing heavily in building a world-class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks daily and are constantly challenging ourselves to create world-class products and an unparalleled shopping experience for our hundreds of millions of customers worldwide.


Key job responsibilities
- Translating business questions and concerns into specific analytical questions that can be answered with available data using statistical and machine learning methods; working with engineers to produce the required data when it is not available

- Presenting critical data in a format that is immediately useful to answer questions about the inputs and outputs of Forecasting systems and improving their performance
- Communicating verbally and in writing to business customers with various levels of technical knowledge educating them about our systems as well as sharing insights and recommendations
- Improving upon existing statistical or machine learning methodologies by developing new data sources testing model enhancements running computational experiments and fine-tuning model parameters for improving ad performance such as new ad sourcing models or ad optimization model
- Supporting decisions by providing requirements to develop analytic capabilities platforms pipelines and metrics then using them to analyze trends and find root causes of ad performance issues
- Formalizing assumptions about how forecasts are expected to behave creating definitions of outliers developing methods to systematically identify these outliers and explaining why they are reasonable or identifying fixes for them
- Utilizing code (Python R Scala SQL etc.) for w2 data and building statistical and machine learning models and algorithms


About the team
Sponsored TV Ads is a new and critical Ads program that is pioneering new experiences to help brands (sellers vendors influencers) connect with millions of viewers. We are innovating on TV creatives supply and performance. If youre interested in joining a new and rapidly growing team working to build a unique world-class advertising group with a relentless focus on the customer youve come to the right place. We also strive to be a diverse and inclusive team and value work life balance.

- 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
- 2 years of data scientist experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Bachelors degree
- Experience applying theoretical models in an applied environment

- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt 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 $125500/year in our lowest geographic market up to $212800/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
This position will remain posted until filled. Applicants should apply via our internal or external career site.

Employment Type

Full-Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.