ADCI

Applied Science, Science, no business category

SeniorDataScientist,BooksContentExperience

₹25–40L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Scientist, Books Content Experience at ADCI. Skills: Machine learning, Natural language processing, Computer vision, Deep learning. Inspect science initiatives. Apply initiatives to book reading”

What You'll Achieve.

Improve book reading experience; Benefit customers; Benefit business area; Meet customer needs; Meet team goals

Industry & Context.

Applied Science, Science, no business category
Problems you'll solve

Solve problems; Scientific problem solving; Root cause analysis

What They're Looking For.

Must Have

5+ years data querying languages, 5+ years scripting languages, 5+ years statistical/mathematical software, 4+ years data scientist experience, Experience with statistical models

Nice to Have

2+ years data visualization experience, Experience managing data pipelines, Experience as a leader, Experience as a mentor

What You'll Do.

Inspect science initiatives

Apply initiatives to book reading

Scale initiatives to book reading

Participate in design discussions

Participate in scoping discussions

Participate in prioritization discussions

Map business goal to scientific problem

Map business metrics to technical metrics

Spearhead design of new features

Spearhead implementation of new features

Spearhead design of new algorithms

Spearhead implementation of new algorithms

Initiate design of smaller components

Initiate development of smaller components

Initiate execution of smaller components

Initiate implementation of smaller components

Work with SDEs to deliver solutions

Deliver solutions into production

Assume responsibility for code

Write maintainable code

Write code with minimal defects

Understand basic data structures

Understand algorithms

Understand model evaluation techniques

Understand performance tradeoffs

Understand optimality tradeoffs

Follow engineering best practices

Follow scientific method best practices

Test models thoroughly

Ensure solutions meet customer needs

Ensure solutions meet team goals

Keep current with research trends

Solve customer problems

Leverage advancements in science

Improve reading experience

Collaborate with partner teams

Discuss model development

Discuss productionizing models

Mentor other scientists

Review work of others

Develop roadmaps for team

How You'll Work.

Team & Collaboration

Cross-functional teams; Partner teams; Engineering teams; PM teams; Other scientists

Process & Methodology

Roadmaps

Full Job Description

The Kindle team is seeking innovative Data Scientist for improving the reading experience. Our team is dedicated to enhancing the book reading experience using advancements in Science to improve the book reading experience for Kindle customers. Key job responsibilities - Inspect science initiatives across Amazon to identify how these can be applied and scaled to book reading experience. - Participate in team design, scoping and prioritization discussions. You must be able to map a business goal to a scientific problem, and map business metrics to technical metrics. - Spearhead the design and implementation of new features and algorithms based on thorough research and collaboration with cross-functional teams. - You have expertise in one of the science disciplines, such as machine learning, natural language processing, computer vision, Deep learning - You are able to use reasonable assumptions, data, and customer requirements to solve problems. - You initiate the design, development, execution, and implementation of smaller components with input and guidance from team members. - You work with SDEs to deliver solutions into production to benefit customers or an area of the business. - You assume responsibility for the code in your components. You write secure, stable, testable, maintainable code with minimal defects. - You understand basic data structures, algorithms, model evaluation techniques, performance, and optimality tradeoffs. - You follow engineering and scientific method best practices. You get your designs, models, and code reviewed. You test your code and models thoroughly - You participate in team design, scoping and prioritization discussions. You are able to map a business goal to a scientific problem and map business metrics to technical metrics. - You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. - You keep current with research trends in your area of expertise and scrutinize your results. A day in

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