Amazon
Applied Scientist, AWS Marketing, AWS Marketing Measurement
Amazon, Seattle, Washington, us, 98127
Applied Scientist, AWS Marketing, AWS Marketing Measurement Job ID: 2793355 | Amazon Web Services, Inc.
A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.Amazon Web Services (AWS) is building a world-class marketing organization, and we are looking for an experienced Applied Scientist to join the central data and science organization for AWS Marketing. You will lead AWS Measurement, targeting, recommendation, forecasting related AI/ML products and initiatives, and own mechanisms to raise the science and measurement standard. You will work with economists, scientists and engineers within the team, and partner with product and business teams across AWS Marketing to build the next generation marketing measurement, valuation and machine learning capabilities directly leading to improvements in our key performance metrics.A successful candidate has an entrepreneurial spirit and wants to make a big impact on AWS growth. You will develop strong working relationships and thrive in a collaborative team environment. You will work closely with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. The ideal candidate will have experience with machine learning models and causal inference. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.You will work on high-impact, high-visibility products, with your work improving the experience of AWS leads and customers.Key job responsibilities
Lead the design, development, deployment, and innovation of advanced science models in the strategic area of marketing measurement and optimization.Partner with scientists, economists, engineers, and product leaders to break down complex business problems into science approaches.Understand and mine the large amount of data, prototype and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.Design, build, and deploy effective and innovative ML solutions to improve components of our ML and causal inference pipelines.Publish and present your work at internal and external scientific venues in the fields of ML and causal inference.Influence long-term science initiatives and mentor other scientists across AWS.BASIC QUALIFICATIONS
3+ years of building models for business application experiencePhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS
Experience in professional software developmentAdvanced proficiency with statistical modeling, experimental design, and machine learning algorithmsPatents or publications at top-tier peer-reviewed conferences or journalsExperience in Advertising, Measurement or Causal InferenceAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.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 https://www.aboutamazon.com/workplace/employee-benefits.Posted:
August 9, 2024 (Updated about 23 hours ago)Share this job#J-18808-Ljbffr
A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.Amazon Web Services (AWS) is building a world-class marketing organization, and we are looking for an experienced Applied Scientist to join the central data and science organization for AWS Marketing. You will lead AWS Measurement, targeting, recommendation, forecasting related AI/ML products and initiatives, and own mechanisms to raise the science and measurement standard. You will work with economists, scientists and engineers within the team, and partner with product and business teams across AWS Marketing to build the next generation marketing measurement, valuation and machine learning capabilities directly leading to improvements in our key performance metrics.A successful candidate has an entrepreneurial spirit and wants to make a big impact on AWS growth. You will develop strong working relationships and thrive in a collaborative team environment. You will work closely with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. The ideal candidate will have experience with machine learning models and causal inference. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.You will work on high-impact, high-visibility products, with your work improving the experience of AWS leads and customers.Key job responsibilities
Lead the design, development, deployment, and innovation of advanced science models in the strategic area of marketing measurement and optimization.Partner with scientists, economists, engineers, and product leaders to break down complex business problems into science approaches.Understand and mine the large amount of data, prototype and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.Design, build, and deploy effective and innovative ML solutions to improve components of our ML and causal inference pipelines.Publish and present your work at internal and external scientific venues in the fields of ML and causal inference.Influence long-term science initiatives and mentor other scientists across AWS.BASIC QUALIFICATIONS
3+ years of building models for business application experiencePhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS
Experience in professional software developmentAdvanced proficiency with statistical modeling, experimental design, and machine learning algorithmsPatents or publications at top-tier peer-reviewed conferences or journalsExperience in Advertising, Measurement or Causal InferenceAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.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 https://www.aboutamazon.com/workplace/employee-benefits.Posted:
August 9, 2024 (Updated about 23 hours ago)Share this job#J-18808-Ljbffr