About Us
Amazon is a global leader in e-commerce, cloud computing, digital streaming, and artificial intelligence. Our mission is to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online. We are committed to innovation, customer obsession, and operational excellence. Our Customer Acquisition Business (CAB) is a key driver of our growth, and we are seeking a talented Full Stack Data Scientist to join our team.
About the Role
We are looking for a highly skilled and experienced Full Stack Data Scientist to drive our logical upset in the Customer Acquisition (CA) space. As a key member of our team, you will have the opportunity to work on a ground-up remake of our logical capacities, from data entry to complex business analytics, end-client reporting, and more. Your primary responsibility will be to design, develop, and implement data pipelines, machine learning models, and data visualization tools to support our business growth and customer acquisition strategies.
Key Responsibilities
- Collaborate with experts, software engineers, and business leaders to define business processes and provide data-driven insights
- Develop code to analyze complex datasets and design, create, and evaluate data pipelines to address specific business issues
- Build adaptable, efficient, and automated data cycles to support client-facing reporting
- Automate CA processes to streamline business activities
- Communicate verbally or in writing to business clients/leaders to share findings and recommendations
Essential Capabilities
To be successful in this role, you will need to possess the following essential capabilities:
- Four-year degree in a quantitative field, such as statistics, mathematics, data science, business analytics, finance, economics, computer science, or software engineering
- 3+ years of experience in data querying languages (e.g., SQL), programming languages (e.g., Python), or statistical/numerical programming (e.g., R, SAS, Matlab, etc.)
- 3+ years of experience in AI/measurable modeling data analysis tools and methods, and boundaries that influence their performance
- Experience applying theoretical models in an applied context
Preferred Capabilities
While not required, the following preferred capabilities will make you a strong candidate for this role:
- Graduate degree in a quantitative field, such as statistics, mathematics, data science, business analytics, finance, economics, computer science, or software engineering
- Experience in a ML or data scientist role with a large technology organization
Job Benefits
As an Amazon employee, you will enjoy a comprehensive benefits package, including:
- Healthcare: Amazon often offers comprehensive healthcare coverage, including medical, dental, and vision insurance for employees and their families
- Retirement Plans: The company typically offers retirement plans such as a 401(K) with matching company contributions
- Paid Time Off: Amazon typically offers a mix of paid time off, including time off, vacation, and sick leave
- Stock Options: Many employees may have the opportunity to participate in the company's stock options programs, allowing them to buy Amazon stock at a discounted price
- Employee Discounts: Amazon employees often receive discounts on Amazon products and services
- Educational Assistance: The company may offer educational assistance programs to help employees continue their education or develop new skills
- Professional Development: Amazon often emphasizes opportunities for professional growth and provides resources for employees to improve their skills and advance within the company
- Maternity and Paternity Leave: Amazon typically offers maternity and paternity leave benefits to support employees through major life events
- Employee Assistance Programs: These programs provide resources for employees facing personal or work-related challenges, such as counseling services and wellness programs
- Flexible Working Options: Depending on your role and location, Amazon may offer flexible working arrangements, including remote work or flexible hours
- Employee Recognition: Amazon often recognizes and rewards outstanding employee performance through various recognition programs
- Transportation Benefits: Some locations may offer transportation benefits, such as public transportation or parking subsidies
Career Growth Opportunities and Learning Benefits
At Amazon, we believe in investing in our employees' growth and development. As a Full Stack Data Scientist, you will have opportunities to work on high-impact projects, collaborate with cross-functional teams, and develop your skills in data science, machine learning, and cloud computing. We also offer a range of training programs, mentorship opportunities, and access to cutting-edge technologies to help you advance your career.
Work Environment and Company Culture
Amazon is a dynamic and fast-paced work environment that values innovation, customer obsession, and operational excellence. Our company culture is built on a set of core values, including customer obsession, ownership, invention, and frugality. We are committed to creating a diverse and inclusive workplace that fosters collaboration, creativity, and growth.
How to Apply
If you are a motivated and talented Full Stack Data Scientist looking for a challenging and rewarding role, please apply to this position through our website. We look forward to hearing from you!
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