Amazon
Job ID: 2851304 | Amazon.com Services LLC
The AdsEcon Team is looking for an Applied Scientist II to help and be part of a team to put cutting edge causal inference research into production.
AdsEcon is a cross-functional team of Economists, Applied Scientists, Data Scientists, and Engineers, with the charter of developing moonshot science solutions for Amazon Advertising. We favor projects that are ambitious, ambiguous, and risky. We use a combination of econometrics, machine learning, and experiments to build disruptive products for all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to the high-level leaders.
Key job responsibilities If you have experience with building causal inference solutions at scale, this is the job for you. Key responsibilities of the Applied Scientist include the following:
Partnering with economists and senior team members to drive science improvements and implement technical solutions at the cutting edge of machine learning and econometrics.
Design, implement, prototype, deploy, and maintain large-scale Causal/ML models. Models are often deployed in partner's teams code base, requiring good communication skills and collaborative spirit.
Build interpretable statistical models and analyze experiment results to answer questions that will drive high-impact decisions across Amazon.
BASIC QUALIFICATIONS
3+ years of building models for business application experience.
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
Experience in patents or publications at top-tier peer-reviewed conferences or journals.
Experience programming in Java, C++, Python or related language.
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
PREFERRED QUALIFICATIONS
Experience building machine learning models or developing algorithms for business applications.
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning.
Experience building Casual-ML solutions at scale.
Experience working in digital advertising is a plus, but not required.
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
this link
for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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 link .
Posted:
September 22, 2024 (Updated 1 day ago)
#J-18808-Ljbffr
The AdsEcon Team is looking for an Applied Scientist II to help and be part of a team to put cutting edge causal inference research into production.
AdsEcon is a cross-functional team of Economists, Applied Scientists, Data Scientists, and Engineers, with the charter of developing moonshot science solutions for Amazon Advertising. We favor projects that are ambitious, ambiguous, and risky. We use a combination of econometrics, machine learning, and experiments to build disruptive products for all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to the high-level leaders.
Key job responsibilities If you have experience with building causal inference solutions at scale, this is the job for you. Key responsibilities of the Applied Scientist include the following:
Partnering with economists and senior team members to drive science improvements and implement technical solutions at the cutting edge of machine learning and econometrics.
Design, implement, prototype, deploy, and maintain large-scale Causal/ML models. Models are often deployed in partner's teams code base, requiring good communication skills and collaborative spirit.
Build interpretable statistical models and analyze experiment results to answer questions that will drive high-impact decisions across Amazon.
BASIC QUALIFICATIONS
3+ years of building models for business application experience.
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
Experience in patents or publications at top-tier peer-reviewed conferences or journals.
Experience programming in Java, C++, Python or related language.
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
PREFERRED QUALIFICATIONS
Experience building machine learning models or developing algorithms for business applications.
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning.
Experience building Casual-ML solutions at scale.
Experience working in digital advertising is a plus, but not required.
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
this link
for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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 link .
Posted:
September 22, 2024 (Updated 1 day ago)
#J-18808-Ljbffr