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, hasn't followed a traditional path, or includes alternative experiences, don't 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, there's nothing we can't achieve in retail.
Inclusive Team Culture
It's 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
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
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
Bachelor's degree
Ability to communicate complex and nuanced messaging to a diverse audience of senior leadership stakeholders
Preferred Qualifications
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't 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 $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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.
