Amazon
Data Scientist II, NA Sales & Marketing
Amazon, Seattle, Washington, us, 98127
Job ID: 2741980 | Amazon.com Services LLCIn this role, you will leverage econometrics, statistics and machine learning models at a massive scale to make multi-million dollar business decisions that support Consumer Hardware device concepts (including smart home security devices and alarms) from innovative idea inception to launch. All of this work is performed in close coordination with senior business leaders and you will work on a cross-functional team including Economists, Data Scientists and Applied Scientists tackling difficult business questions and then scaling those Statistics and Econometrics solutions across Amazon Devices and beyond.
Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.
Key job responsibilities
In this role, you will leverage existing science infrastructure and known techniques and focus both on combining estimates from existing models and creating new models to generate actionable business insights to support senior leadership in critical decision-making meetings, including the approval of confidential funding requests (PRFAQs) for innovative devices and services, product portfolio optimization, and strategic tiering decisions.You will enhance Science and Tools produced by the Device Economics team to improve forecast accuracy. Over time, you will be expected to progressively take on a leading role in expanding our analytical capabilities to address increasingly complex business questions and forecast intricate business scenarios.You will manage and cultivate strong relationships with key business stakeholders, including PM, Sales and Marketing, GTM teams. This role requires close collaboration to align analytical outputs with strategic business objectives.
A day in the lifeYour days will be split between working with scientists to refine and build models and business leaders to interpret them. Always contributing to major decisions that can directly impact Amazon's bottom line on the order of multi-million dollar decisions.You will perform model refreshes or updates to analyses as needed;You will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to the design of automated systems.
About the teamThe Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support devices and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plug…all prior to launch. We are a cross-functional Product team working to scale Econometrics through Amazon and beyond by incorporating Science into internal facing tools and making it easier for others to do so as well.BASIC QUALIFICATIONS - 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environmentPREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology companyPosted:
August 23, 2024 (Updated 1 day ago)
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Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.
Key job responsibilities
In this role, you will leverage existing science infrastructure and known techniques and focus both on combining estimates from existing models and creating new models to generate actionable business insights to support senior leadership in critical decision-making meetings, including the approval of confidential funding requests (PRFAQs) for innovative devices and services, product portfolio optimization, and strategic tiering decisions.You will enhance Science and Tools produced by the Device Economics team to improve forecast accuracy. Over time, you will be expected to progressively take on a leading role in expanding our analytical capabilities to address increasingly complex business questions and forecast intricate business scenarios.You will manage and cultivate strong relationships with key business stakeholders, including PM, Sales and Marketing, GTM teams. This role requires close collaboration to align analytical outputs with strategic business objectives.
A day in the lifeYour days will be split between working with scientists to refine and build models and business leaders to interpret them. Always contributing to major decisions that can directly impact Amazon's bottom line on the order of multi-million dollar decisions.You will perform model refreshes or updates to analyses as needed;You will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to the design of automated systems.
About the teamThe Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support devices and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plug…all prior to launch. We are a cross-functional Product team working to scale Econometrics through Amazon and beyond by incorporating Science into internal facing tools and making it easier for others to do so as well.BASIC QUALIFICATIONS - 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environmentPREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology companyPosted:
August 23, 2024 (Updated 1 day ago)
#J-18808-Ljbffr