Data Scientist II
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Before you apply
LocationBengaluru, Karnataka, IND
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentData Science
Company size10,000+ people
PostedNov 2, 2026 · 1d ago
Verified live13h ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
SQL
Python
R
SAS
Matlab
Perl
machine learning
statistical modeling
data analysis
AI systems
GenAI
About the role
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!
Responsibilities
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 company
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
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