Amazon
Data Scientist, AWS Global Services Capacity Planning
Amazon, Dallas, Texas, United States, 75215
Data Scientist, AWS Global Services Capacity Planning
Job ID: 2738818 | Amazon Web Services, Inc.Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization?At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platforms, offering over 200 fully featured services from data centers globally.AWS Global Services Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize cost.In this role, you will partner with data engineering, tooling team, operations, training, workforce management, and finance teams, driving optimization and prediction solutions across the network influencing the long-term strategy of the business.We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, forecasting solutions, identify data requirements, build methodology and tools that are statistically grounded. You are an expert in the areas of data science, forecasting, optimization, machine learning, and statistics, and are comfortable facilitating ideation and working from concept through execution. You are customer obsessed, innovative, independent, results-oriented, and enjoy working in a fast-paced growing organization. An interest in operations and process improvement is helpful. The ability to embrace ambiguity and work with a highly distributed team of experts is critical.You will likely work in Python or R, building forecasting, predictive, and optimization models. Your problem-solving ability, knowledge of data models, and ability to drive results through ambiguity are more important to us.BASIC QUALIFICATIONS
2+ years of data scientist experience3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experienceExperience applying theoretical models in an applied environmentPREFERRED QUALIFICATIONS
Experience in Python, Perl, or another scripting languageExperience in a ML or data scientist role with a large technology companyAmazon 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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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.This position will remain posted until filled. Applicants should apply via our internal or external career site.Posted:
August 16, 2024
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Job ID: 2738818 | Amazon Web Services, Inc.Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization?At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platforms, offering over 200 fully featured services from data centers globally.AWS Global Services Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize cost.In this role, you will partner with data engineering, tooling team, operations, training, workforce management, and finance teams, driving optimization and prediction solutions across the network influencing the long-term strategy of the business.We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, forecasting solutions, identify data requirements, build methodology and tools that are statistically grounded. You are an expert in the areas of data science, forecasting, optimization, machine learning, and statistics, and are comfortable facilitating ideation and working from concept through execution. You are customer obsessed, innovative, independent, results-oriented, and enjoy working in a fast-paced growing organization. An interest in operations and process improvement is helpful. The ability to embrace ambiguity and work with a highly distributed team of experts is critical.You will likely work in Python or R, building forecasting, predictive, and optimization models. Your problem-solving ability, knowledge of data models, and ability to drive results through ambiguity are more important to us.BASIC QUALIFICATIONS
2+ years of data scientist experience3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experienceExperience applying theoretical models in an applied environmentPREFERRED QUALIFICATIONS
Experience in Python, Perl, or another scripting languageExperience in a ML or data scientist role with a large technology companyAmazon 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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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.This position will remain posted until filled. Applicants should apply via our internal or external career site.Posted:
August 16, 2024
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