Review
Reviews:
"The missing field guide for data scientists looking to advance their careers."
-- Ben Lorica, Advisor to Databricks, Anyscale, Faculty.ai
"Spot on as a career resource! Captures what's important to be successful as a data scientist."
-- Eric Colson, Chief Algorithms Officer Emeritas at Stitch Fix, Former VP Data Science and Engineering at Netflix
"The first of its kind book to discuss data science career development in a systematic way! Highly valuable and timely in a world that generates more and more data!"
-- Michael Li, VP of Data at Coinbase, Former Head of Analytics and Data Science at LinkedIn
"A valuable reference filled with new and useful coaching and techniques. A must have."
-- Jesse Bridgewater, VP Data Science at Brightline, formerly Livongo, Twitter, eBay
"A great book providing frameworks and tools that help contemplate and address key problems faced by data science leaders."
-- Ron Kohavi, Best-selling Author, Former Executive at Airbnb, Microsoft, Amazon
Reviews from across the globe:
"An important resource for planning a career path in data science"
-- Walter Alexander Mata Lopez PhD. Faculty Member, The University of Colima, Mexico
"Whether you are an aspiring data scientist, team lead, or business driver, this book has you covered."
-- Simon Tschke, Head of Research, German Edge Cloud
"A recipe for a highly performant data science organization"
-- Krzysztof Jdrzejewski, Principle Data Scientist, AI team leader, Pearson
"Should be on your bookshelf, whether you aim for a leadership position in data science or not. A perfect introduction to problems you might face, and how to solve them correctly!"
-- Vishwesh Ravi Shrimali, ADAS Engineer, Mercedes-Benz Research and Development India
"The missing field guide for data scientists looking to advance their careers."
-- Ben Lorica, Advisor to Databricks, Anyscale, Faculty.ai
"Spot on as a career resource! Captures what's important to be successful as a data scientist."
-- Eric Colson, Chief Algorithms Officer Emeritas at Stitch Fix, Former VP Data Science and Engineering at Netflix
"The first of its kind book to discuss data science career development in a systematic way! Highly valuable and timely in a world that generates more and more data!"
-- Michael Li, VP of Data at Coinbase, Former Head of Analytics and Data Science at LinkedIn
"A valuable reference filled with new and useful coaching and techniques. A must have."
-- Jesse Bridgewater, VP Data Science at Brightline, formerly Livongo, Twitter, eBay
"A great book providing frameworks and tools that help contemplate and address key problems faced by data science leaders."
-- Ron Kohavi, Best-selling Author, Former Executive at Airbnb, Microsoft, Amazon
Reviews from across the globe:
"An important resource for planning a career path in data science"
-- Walter Alexander Mata Lopez PhD. Faculty Member, The University of Colima, Mexico
"Whether you are an aspiring data scientist, team lead, or business driver, this book has you covered."
-- Simon Tschke, Head of Research, German Edge Cloud
"A recipe for a highly performant data science organization"
-- Krzysztof Jdrzejewski, Principle Data Scientist, AI team leader, Pearson
"Should be on your bookshelf, whether you aim for a leadership position in data science or not. A perfect introduction to problems you might face, and how to solve them correctly!"
-- Vishwesh Ravi Shrimali, ADAS Engineer, Mercedes-Benz Research and Development India
About the Author
Dr. Jike Chong andYue Cathy Chang have both built, led, and grown multiple high-performing data teams. Dr. Chong developed the Yiren Digital Ltd. data team from the ground up, expanded and led the data team as chief data scientist at Acorns, and recently led the Hiring Marketplace Data Science team at LinkedIn.
Yue Cathy Chang and her team "parachuted" into companies to address challenging and meaningful data needs. She has worked with leaders of centralized and distributed data teams at organizations big and small, including large asset-management firms and Fortune 50 companies.
Yue Cathy Chang and her team "parachuted" into companies to address challenging and meaningful data needs. She has worked with leaders of centralized and distributed data teams at organizations big and small, including large asset-management firms and Fortune 50 companies.
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