Data Scientist, Digital Acceleration
Data Scientist, Digital Acceleration
Posted on :
17-05-2025
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1 Vacancy
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Job Description
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazons digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action
The Amazon Digital Acceleration Analytics team is looking for an analytical and technically skilled individual to join our team. In this role
you will invent build and deploy state of the art machinelearning models and systems to enable and enhance the teams mission
This role offers wide scope autonomy and ownership. You will work closely with software engineers & data engineers to put algorithms into practice. You should have strong business judgement excellent written and verbal communication skills. The candidate should be willing to take on challenging initiatives and be capable of working both independently and with others as a team.
Key job responsibilities
We are looking for an experienced data scientist with strong foundations in mathematics statistics & machine learning with exceptional communication and leadership skills and a proven track record of delivery. In this role You will
Define a longterm science vision and roadmap for the team driven fundamentally from our customers needs translating those directions into specific plans for engineering teams.
Design and execute machine learning projects/products endtoend: from ideation analysis prototyping development metrics and monitoring.
Drive endtoend statistical analysis that have a high degree of ambiguity scale and complexity.
Research and develop advanced Generative AI based solutions to solve diverse customer problems.
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 environment
Experience applying various machine learning techniques and understanding the key parameters that affect their performance. Experience developing experimental and analytic plans for data modeling processes use of strong baselines and the ability to accurately determine cause and effect relationships. Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs. Understanding of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc.
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The Amazon Digital Acceleration Analytics team is looking for an analytical and technically skilled individual to join our team. In this role
you will invent build and deploy state of the art machinelearning models and systems to enable and enhance the teams mission
This role offers wide scope autonomy and ownership. You will work closely with software engineers & data engineers to put algorithms into practice. You should have strong business judgement excellent written and verbal communication skills. The candidate should be willing to take on challenging initiatives and be capable of working both independently and with others as a team.
Key job responsibilities
We are looking for an experienced data scientist with strong foundations in mathematics statistics & machine learning with exceptional communication and leadership skills and a proven track record of delivery. In this role You will
Define a longterm science vision and roadmap for the team driven fundamentally from our customers needs translating those directions into specific plans for engineering teams.
Design and execute machine learning projects/products endtoend: from ideation analysis prototyping development metrics and monitoring.
Drive endtoend statistical analysis that have a high degree of ambiguity scale and complexity.
Research and develop advanced Generative AI based solutions to solve diverse customer problems.
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 environment
Experience applying various machine learning techniques and understanding the key parameters that affect their performance. Experience developing experimental and analytic plans for data modeling processes use of strong baselines and the ability to accurately determine cause and effect relationships. Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs. Understanding of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc.
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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