Experienced Full Stack Data Scientist – Business Intelligence, Data Modeling, and Analytics for Amazon's Ability Securing (TA) Space (Remote, Part/Full Time, $27/Hour)

Join the Amazon Team as a Data Scientist and Drive Business Transformation

Are you a passionate and experienced Data Scientist looking for a new challenge? Do you want to be part of a team that is revolutionizing the Ability Securing (TA) space at Amazon? We are seeking a talented Information Science expert to join our team and drive business transformation through data-driven insights. As a Data Scientist, you will have the opportunity to work on a ground-up remake of our analytical capabilities, from data entry to complex business changes and end-client reporting.

About Amazon and Our Culture

Amazon is a global leader in e-commerce, cloud computing, and artificial intelligence. Our company culture is built on a foundation of innovation, customer obsession, and ownership. We are committed to creating a work environment that is inclusive, diverse, and supportive of our employees' growth and development. As a remote employee, you will have the flexibility to work from home and be part of a global team that is shaping the future of technology.

Job Summary

As a Data Scientist at Amazon, you will be responsible for driving business transformation in the Ability Securing (TA) space. You will work closely with stakeholders to define business processes, provide analytical support, and develop data-driven solutions to complex business problems. Your primary focus will be on developing and implementing data pipelines, analyzing complex datasets, and creating data visualizations to inform business decisions.

Key Responsibilities

• Collaborate with stakeholders, including software engineers, and business leaders to define business processes and provide analytical support
• Influence code to investigate complex datasets and design, develop, and evaluate data changes to solve specific business problems
• Build scalable, efficient, and automated data pipelines to facilitate client-facing reporting
• Automate TA processes to streamline business operations
• Communicate verbally or in writing to business clients/leadership to share insights and recommendations
• Develop and maintain large-scale data systems, including data warehousing and business intelligence solutions
• Work with cross-functional teams to identify business needs and develop data-driven solutions
• Stay up-to-date with the latest trends and technologies in data science, machine learning, and artificial intelligence

Requirements

Essential Qualifications

• Bachelor's degree in a quantitative field, such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/numerical programming (e.g., R, SAS, Matlab)
• 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques, and metrics that influence their performance
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Graduate degree in a quantitative field, such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience in a machine learning or data scientist role with a large technology organization
• Familiarity with cloud-based technologies, such as AWS or Azure
• Experience with data visualization tools, such as Tableau or Power BI

Skills and Competencies

To be successful in this role, you will need to possess a range of skills and competencies, including:

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work in a fast-paced, dynamic environment
• Strong attention to detail and organizational skills
• Ability to think strategically and drive business outcomes
• Experience with data science tools and technologies, such as Python, R, SQL, and machine learning algorithms

Career Growth Opportunities and Learning Benefits

At Amazon, we are committed to helping our employees grow and develop their skills. As a Data Scientist, you will have access to a range of learning opportunities, including:

• Training and development programs
• Conferences and workshops
• Online courses and tutorials
• Mentorship and coaching

Work Environment and Company Culture

As a remote employee, you will have the flexibility to work from home and be part of a global team. Our company culture is built on a foundation of innovation, customer obsession, and ownership. We are committed to creating a work environment that is inclusive, diverse, and supportive of our employees' growth and development.

Compensation, Perks, and Benefits

We offer a competitive salary of $27/hour, as well as a range of benefits, including:

• Health, dental, and vision insurance
• 401(k) matching program
• Paid time off and holidays
• Flexible work arrangements, including remote work options
• Access to employee discounts and perks

Conclusion

If you are a motivated and experienced Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Data Scientist at Amazon, you will have the chance to drive business transformation, develop new skills, and be part of a global team that is shaping the future of technology. Apply now and join our team!