**Experienced Data Scientist – Amazon's Ability Procurement (TA) Team**

**Join the Amazon family and embark on a thrilling journey as a Data Scientist, where you'll drive innovation and logical unrest in the TA space!** Are you a data enthusiast with a passion for driving business growth through data-driven insights? Do you thrive in a fast-paced environment where no two days are the same? Look no further! Amazon is seeking an experienced Data Scientist to join our Ability Procurement (TA) team, where you'll have the opportunity to work on a ground-up revamp of our insightful capacities, from data entry to complex business transformations and end-client reporting. **About Amazon** Amazon is a global leader in e-commerce, cloud computing, 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. With a culture of innovation and a commitment to excellence, we're constantly pushing the boundaries of what's possible. As a Data Scientist on our TA team, you'll be part of a dynamic and collaborative environment where you'll have the freedom to experiment, learn, and grow. **Job Summary** We're seeking an autonomous Information Researcher who can source, scrub, analyze, refine, enhance, model, present, automate, and report our business data pipelines. You'll work closely with scientists, software engineers, and business leaders to define business processes and provide insightful support. As a Data Scientist, you'll be responsible for: * Collaborating with cross-functional teams to identify business needs and develop data-driven solutions * Influencing code to investigate complex datasets and design, create, and assess data transformations to address specific business issues * Building adaptable, efficient, and automated data pipelines to support client-facing reporting * Automating TA cycles to streamline business activities * Communicating insights and recommendations to business clients and leaders through verbal and written reports **Key Responsibilities** * Team up with scientists, software engineers, and business leaders to define business processes and offer insightful support * Influence code to investigate complex datasets and design, create, and assess data transformations to take care of explicit business issues * Construct adaptable, effective, and automated information cycles to work with client confronting detailing * Mechanize TA cycles to smooth out business activities * Impart verbally or recorded as a hard copy to business clients/initiative to sharing bits of knowledge and suggestions **Essential Capabilities** * Four-year certification in a quantitative field, such as statistics, mathematics, data science, business analysis, finance, economics, engineering, or computer science * 3+ years of experience in data querying languages (e.g., SQL), pre-processing languages (e.g., Python) or statistical/numerical programming (e.g., R, SAS, Matlab, etc.) * 3+ years of experience in AI/factual demonstrating information examination instruments and strategies, and boundaries that influence their exhibition experience * Experience applying hypothetical models in an applied climate **Preferred Capabilities** * Graduate degree in a quantitative field, such as statistics, mathematics, data science, business analysis, finance, economics, engineering, or computer science * Experience in a ML or data researcher job with a huge innovation organization **What We Offer** * Competitive salary: $32/hour * Comprehensive benefits package, including medical, dental, and vision insurance * 401(k) matching program * Flexible work arrangements, including remote work options * Opportunities for professional growth and development * Collaborative and dynamic work environment * Access to cutting-edge technology and tools * Recognition and rewards for outstanding performance **How to Apply** If you're a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! **Apply Now** Apply Job! Apply for this job