Amazon
Data Scientist II, People eXperience & Technology Central Science (PXTCS)
Amazon, New York, New York, us, 10261
Data Scientist II, People eXperience & Technology Central Science (PXTCS)
Join to apply for the Data Scientist II, People eXperience & Technology Central Science (PXTCS) role at Amazon. Overview
Are you passionate about conducting research to develop and grow leaders? Would you like to impact more than 1M Amazonians globally and improve the employee experience? The People eXperience & Technology Central Science (PXTCS) team uses science, research, and technology to optimize employee experience and performance across the full employee lifecycle. We apply economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements that improve Amazon and the lives, wellbeing, and value of work for Amazonians. We are an interdisciplinary team that combines science and engineering to deliver solutions that measurably achieve this goal. Major Responsibilities
Manage the full life cycle of large-scale research initiatives across multiple business segments that impact leaders in our organization (develop strategy, gather requirements, manage, and execute). Serve as a subject matter expert on research design, measurement, and analysis. Collaborate with internal partners and external stakeholders to evaluate research initiatives that provide bottom-line ROI and incremental improvements over time. Work with a cross-functional team with expertise in social science, machine learning, econometrics, psychometrics, natural language processing, forecasting, optimization, business intelligence, analytics, and policy evaluation. Query and clean complex datasets from multiple sources for advanced statistical analysis. Write high-quality, evidence-based documents to provide insights to business leaders and gain buy-in. Share knowledge, advocate for innovative solutions, and mentor others. Basic Qualifications
2+ years of data scientist experience. 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab). 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques. Experience applying theoretical models in an applied environment. Preferred Qualifications
Experience in Python, Perl, or another scripting language. Experience in a ML or data scientist role with a large technology company. About the Team
We are a collegial and multidisciplinary team of researchers in People eXperience and Technology (PXT) that combines science and engineering to develop innovative solutions to make Amazon Earth’s Best Employer. We leverage data and rigorous analysis to help attract, retain, and develop one of the world’s largest and most talented workforces. Company, Diversity & Inclusion
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the accommodations page for more information. Our inclusive culture empowers Amazonians to deliver the best results for our customers. We maintain a culture of inclusion reinforced by our Leadership Principles. Benefits & Compensation
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges and varies by location and experience. Amazon is a total compensation company; equity, sign-on payments, and other benefits may be provided as part of a total compensation package. For more information, visit our benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site. Job Details
Location: New York, NY Job Function: Engineering and Information Technology Industry: Software Development Seniority level: Mid-Senior level Employment type: Full-time
#J-18808-Ljbffr
Join to apply for the Data Scientist II, People eXperience & Technology Central Science (PXTCS) role at Amazon. Overview
Are you passionate about conducting research to develop and grow leaders? Would you like to impact more than 1M Amazonians globally and improve the employee experience? The People eXperience & Technology Central Science (PXTCS) team uses science, research, and technology to optimize employee experience and performance across the full employee lifecycle. We apply economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements that improve Amazon and the lives, wellbeing, and value of work for Amazonians. We are an interdisciplinary team that combines science and engineering to deliver solutions that measurably achieve this goal. Major Responsibilities
Manage the full life cycle of large-scale research initiatives across multiple business segments that impact leaders in our organization (develop strategy, gather requirements, manage, and execute). Serve as a subject matter expert on research design, measurement, and analysis. Collaborate with internal partners and external stakeholders to evaluate research initiatives that provide bottom-line ROI and incremental improvements over time. Work with a cross-functional team with expertise in social science, machine learning, econometrics, psychometrics, natural language processing, forecasting, optimization, business intelligence, analytics, and policy evaluation. Query and clean complex datasets from multiple sources for advanced statistical analysis. Write high-quality, evidence-based documents to provide insights to business leaders and gain buy-in. Share knowledge, advocate for innovative solutions, and mentor others. Basic Qualifications
2+ years of data scientist experience. 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab). 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques. Experience applying theoretical models in an applied environment. Preferred Qualifications
Experience in Python, Perl, or another scripting language. Experience in a ML or data scientist role with a large technology company. About the Team
We are a collegial and multidisciplinary team of researchers in People eXperience and Technology (PXT) that combines science and engineering to develop innovative solutions to make Amazon Earth’s Best Employer. We leverage data and rigorous analysis to help attract, retain, and develop one of the world’s largest and most talented workforces. Company, Diversity & Inclusion
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the accommodations page for more information. Our inclusive culture empowers Amazonians to deliver the best results for our customers. We maintain a culture of inclusion reinforced by our Leadership Principles. Benefits & Compensation
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges and varies by location and experience. Amazon is a total compensation company; equity, sign-on payments, and other benefits may be provided as part of a total compensation package. For more information, visit our benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site. Job Details
Location: New York, NY Job Function: Engineering and Information Technology Industry: Software Development Seniority level: Mid-Senior level Employment type: Full-time
#J-18808-Ljbffr