Easter Seals Jobs

Description

Advertising Product and Tech (AdPT) Finance is seeking an exceptional Applied Scientist to join our Economics and Science team. The most important question the AdPT Finance Econ and Science team trying to answer includes: What are the long-term impacts of the new advertising initiatives? Where will Advertising’s growth come from in the next year? How big the Advertising business become over the next three years? What are the interactions between consumer and Ads business?

This Data Scientist role will collaborate with economists, applied scientists, financial managers and engineers to implement models and leverage large data to answer those questions. They will also have exposure to senior leadership as we communicate results and provide scientific guidance to the business.

A successful candidate will be a problem solver who excels in deploying science models to production environments, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interact with the finance teams.

Key job responsibilities

• Develop and implement models to forecast KPI and growth drivers for a variety of Amazon advertising products;

• Design and implement scalable, efficient, automated process for large-scale data analysis, model development, validation and deployment;

• Collaborate with scientist and engineering teams to deploy science models to production environments;

• Present models and model results to senior leaders and diverse stakeholders;

• Research innovative hybrid (ML+time series) forecasting methodologies.

Basic Qualifications

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

• 4+ years of data scientist experience

• Experience in forecasting analyses

• Bachelor's degree

Preferred Qualifications

• Experience managing data pipelines

• Experience as a leader and mentor on a data science team

• Solid knowledge in time series / deep learning forecasting methods.

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 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 $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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.