Amazon
Senior Data Scientist, People Experience Foundation (PXF)
Amazon, Bellevue, Washington, us, 98009
Senior Data Scientist, People Experience Foundation (PXF)
Job ID: 2800537 | Amazon.com Services LLCWe are open to candidates located in:Seattle and Bellevue, Washington.
As a Senior Data Scientist, you will be on the ground floor with your team, shaping the way performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business. You will work closely with Data Engineers, Product Managers, Business Intelligence Engineers, and Software Engineers to develop statistical models, design and run experiments, and find new ways to optimize the customer experience.
A successful candidate is highly analytical, able to work effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that enhance the PXF experience across multiple products. You must engage with customers to deeply understand their current and emerging needs.
PXF applications are rapidly evolving and our user base is rapidly expanding. As a Data Scientist on the team, you will own diving into the different user personas and inventing on behalf of the app users to meet their needs. We are looking for someone who's customer obsessed and technology savvy - with a passion for app development work. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.
Key job responsibilities- Partner with business stakeholders in formulating the business problem and providing recommendations on the approach.- Understand customer behavior to personalize customer experience, build recommendation engines, conduct customer lifecycle analysis, and analyze usage behavior.- Conduct large scale A/B testing and offline/online experiments to evaluate performance of various programs and drive product improvements across partner teams.- Process large scale datasets using distributed computing platforms to build models, mine insights from data, and prototype models that optimize towards various business goals and metrics.- Interact with cross-functional teams and make business recommendations, including cost-benefit analysis, forecasting, experiment analysis, and present findings to leadership team.- Drive product roadmap and prioritize science projects with the PMs to improve customer experience.
About the teamPXF builds the employee experiences that connect Amazonians, support them through their employment journey, and make Amazon Earth's Best Employer. Our products include the A to Z mobile application, which directly impacts the lives of associates by helping them identify the best shifts for their schedule, opportunities to pick up additional work, and choose when they get paid. We enable Amazon employees to easily find and access high-quality and authoritative content throughout their employment lifecycle through content management and Search capabilities. We also provide employees with a dynamic and ever-evolving learning experience to protect, prepare, and advance their careers.BASIC QUALIFICATIONS
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.- 5+ years of experience as a data scientist or in a similar role involving data extraction, analysis, statistical modeling, and communication.- 3+ years of experience in data visualization using AWS QuickSight, Tableau, R Shiny, etc.PREFERRED QUALIFICATIONS
- Experience managing data pipelines.- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent).- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).- Experience with statistical models, e.g., multinomial logistic regression.- Experience working with scientists, economists, software developers, or product managers.- Experience working collaboratively with data engineers and business intelligence engineers.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. 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 $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.
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Job ID: 2800537 | Amazon.com Services LLCWe are open to candidates located in:Seattle and Bellevue, Washington.
As a Senior Data Scientist, you will be on the ground floor with your team, shaping the way performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business. You will work closely with Data Engineers, Product Managers, Business Intelligence Engineers, and Software Engineers to develop statistical models, design and run experiments, and find new ways to optimize the customer experience.
A successful candidate is highly analytical, able to work effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that enhance the PXF experience across multiple products. You must engage with customers to deeply understand their current and emerging needs.
PXF applications are rapidly evolving and our user base is rapidly expanding. As a Data Scientist on the team, you will own diving into the different user personas and inventing on behalf of the app users to meet their needs. We are looking for someone who's customer obsessed and technology savvy - with a passion for app development work. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.
Key job responsibilities- Partner with business stakeholders in formulating the business problem and providing recommendations on the approach.- Understand customer behavior to personalize customer experience, build recommendation engines, conduct customer lifecycle analysis, and analyze usage behavior.- Conduct large scale A/B testing and offline/online experiments to evaluate performance of various programs and drive product improvements across partner teams.- Process large scale datasets using distributed computing platforms to build models, mine insights from data, and prototype models that optimize towards various business goals and metrics.- Interact with cross-functional teams and make business recommendations, including cost-benefit analysis, forecasting, experiment analysis, and present findings to leadership team.- Drive product roadmap and prioritize science projects with the PMs to improve customer experience.
About the teamPXF builds the employee experiences that connect Amazonians, support them through their employment journey, and make Amazon Earth's Best Employer. Our products include the A to Z mobile application, which directly impacts the lives of associates by helping them identify the best shifts for their schedule, opportunities to pick up additional work, and choose when they get paid. We enable Amazon employees to easily find and access high-quality and authoritative content throughout their employment lifecycle through content management and Search capabilities. We also provide employees with a dynamic and ever-evolving learning experience to protect, prepare, and advance their careers.BASIC QUALIFICATIONS
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.- 5+ years of experience as a data scientist or in a similar role involving data extraction, analysis, statistical modeling, and communication.- 3+ years of experience in data visualization using AWS QuickSight, Tableau, R Shiny, etc.PREFERRED QUALIFICATIONS
- Experience managing data pipelines.- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent).- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).- Experience with statistical models, e.g., multinomial logistic regression.- Experience working with scientists, economists, software developers, or product managers.- Experience working collaboratively with data engineers and business intelligence engineers.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. 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 $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.
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