Sr. Data Scientist, Fashion & Fitness
Sr. Data Scientist, Fashion & Fitness
Posted on :
24-08-2025
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1 Vacancy
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Job Description
Do you thrive in generating actionable insights at scale from nuanced datasets Can you use data to look around the corners of a business and guide leaders on impactful business decisions The F2 FINDS (Fandom Ingress New Products Discovery Search) team
is a central part of enabling new products and strategic program discovery and is looking for such a builder to empower the highest standards of excellence for our global operations.
This role will focus on Data Science and Analytics related to the new product discovery program requiring deep technical skills strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. As a member of this team you will dive deep into our data and harness your strong data extraction transformation and load (ETL) skills to create data structures build machine learning models incorporate generative AI into business decision making create forecasting predictive and prescriptive models build dashboards and visualization to support business strategy and enable FINDS to achieve its goals.
The individual must have the ability to communicate effectively across multiple technical and non-technical business units as well as across other geographies. Successful members of this team collaborate effectively to solve data problems are highly organized and detail-oriented implement new solutions for complex problems and deliver successfully against highest standards. The ideal candidate will be a highly motivated individual that seeks to tell the story of the data with little direction or supervision.
Key job responsibilities
Support the development of continuously-evolving business analytics and data models own the quantitative analysis of the performance of our product/program discovery models science features partner teams.
Continually develop new ways of using data to look around the corners of the Retail business
Use machine learning data mining and statistical techniques to design/run experiments that solve complex business problems.
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation.
Develop a deep understanding of sales metrics reporting tools and data structures in order to identify and drive resolution of issues provide actionable intelligence with existing metrics or identify develop and propose new metrics dashboards scorecards or new tools.
Develop relationships and processes with partner teams PMs/TPMs engineers and other functional teams to identify and address reporting issues.
Manage and develop advanced analytical tools that align and simplify monthly business reviews annual planning and forecasting processes.
Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
Generate ad-hoc and monthly operational analysis and reports based on the needs of the stakeholders.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why F2
F2 is fostering respective inclusive fast delivery and quick learning culture. We pioneered gen-AI technology to solve the most difficult customer problems and never stopped innovating. You will enjoy the speed of the learning as well as the interaction with your co-workers in every minute.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in retail.
Inclusive Team Culture
Its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 4 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelors degree
- Ability to communicate complex and nuanced messaging to a diverse audience of senior leadership stakeholders
- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
is a central part of enabling new products and strategic program discovery and is looking for such a builder to empower the highest standards of excellence for our global operations.
This role will focus on Data Science and Analytics related to the new product discovery program requiring deep technical skills strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. As a member of this team you will dive deep into our data and harness your strong data extraction transformation and load (ETL) skills to create data structures build machine learning models incorporate generative AI into business decision making create forecasting predictive and prescriptive models build dashboards and visualization to support business strategy and enable FINDS to achieve its goals.
The individual must have the ability to communicate effectively across multiple technical and non-technical business units as well as across other geographies. Successful members of this team collaborate effectively to solve data problems are highly organized and detail-oriented implement new solutions for complex problems and deliver successfully against highest standards. The ideal candidate will be a highly motivated individual that seeks to tell the story of the data with little direction or supervision.
Key job responsibilities
Support the development of continuously-evolving business analytics and data models own the quantitative analysis of the performance of our product/program discovery models science features partner teams.
Continually develop new ways of using data to look around the corners of the Retail business
Use machine learning data mining and statistical techniques to design/run experiments that solve complex business problems.
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation.
Develop a deep understanding of sales metrics reporting tools and data structures in order to identify and drive resolution of issues provide actionable intelligence with existing metrics or identify develop and propose new metrics dashboards scorecards or new tools.
Develop relationships and processes with partner teams PMs/TPMs engineers and other functional teams to identify and address reporting issues.
Manage and develop advanced analytical tools that align and simplify monthly business reviews annual planning and forecasting processes.
Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
Generate ad-hoc and monthly operational analysis and reports based on the needs of the stakeholders.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why F2
F2 is fostering respective inclusive fast delivery and quick learning culture. We pioneered gen-AI technology to solve the most difficult customer problems and never stopped innovating. You will enjoy the speed of the learning as well as the interaction with your co-workers in every minute.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in retail.
Inclusive Team Culture
Its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 4 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelors degree
- Ability to communicate complex and nuanced messaging to a diverse audience of senior leadership stakeholders
- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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