Data Scientist II

Amazon.com Inc.; Bengaluru; Vor Ort; INR 1.700.000 - 2.600.000; Vollzeit

Zusammenfassung

Amazon is seeking a data scientist for the Kindle Direct Publishing team in Bengaluru. The role focuses on integrating massive-scale data, building ML models, and delivering actionable insights to shape product strategy and creator/reader experiences.

You will own end-to-end analytics, partner with scientists, engineers, and business teams, and help drive data-driven decisions across the publishing workflow at Amazon.

Qualifikationen

• 2+ years of data scientist experience.
• Experience with SQL, Python or R/SAS/Matlab for data analysis.
• Hands-on ML modeling, analytics and metrics experience.

Aufgaben

• Lead end-to-end analytics for Kindle Direct Publishing data.
• Translate data into actionable business insights for stakeholders.
• Collaborate with scientists, product managers and engineers.
• Develop benchmarks and deploy analytic solutions at scale.

Kenntnisse

SQL

Python

R

SAS

Machine Learning

Ausbildung

Master's degree in STEM

PhD in STEM

Jobbeschreibung

Are you passionate about working with Amazon-scale data, advanced analytics, and data science?

Do you love bringing data together from diverse systems and sources and working on innovative advanced analytics problems for creating deep understanding of customer behavior and generating actionable business insights? Does the idea of working closely with a team of highly experience machine-learning scientists and engineers excite you?

We looking for an experienced, self-driven Data Scientist to help us synthesise data into knowledge for our Kindle Direct Publishing business. If you like working with data and want to harness the power of it to develop a deeper understanding of customer behaviour, identify opportunities, impact publishing workflow and influence the business strategy to develop products and features that have a direct impact on the creator and reader experience, this is the role for you!

Key job responsibilities As Data Scientist, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic leadership to scientists, product managers, engineers using these data. You will leverage your knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages to analyze and translate the data into meaningful insights. You will closely collaborate with business, scientists, and engineers. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Further, you will build solutions leveraging advanced analytics that enable stakeholders to manage the business and make effective decisions, partner with internal teams to identify process and system improvement opportunities.

About the team Minerva is a cross-functional science, analytics, and ML org of highly experienced scientists, BI/data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk for our publishing businesses. We also use science to optimize manufacturing, fulfillment, and quality processes.

Basic Qualifications

• 2+ years of data scientist experience


• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience


• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience


• 1+ years of guiding and coaching a group of researchers experience


• 1+ years of working with or evaluating AI systems experience


• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)


• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)


• Knowledge of machine learning concepts and their application to reasoning and problem-solving


• Experience in Python, Perl, or another scripting language


• Experience in a ML or data scientist role with a large technology company


• Experience in defining and creating benchmarks for assessing GenAI model performance


• Experience working on multi-team, cross-disciplinary projects


• Experience applying quantitative analysis to solve business problems and making data-driven business decisions


• Experience effectively communicating complex concepts through written and verbal communication

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.