Join us in New York, January 23-24, for this unique peer-to-peer event for top data science minds. Explore how to drive innovation within your business through a data-driven culture, build a world-class team, and utilize the latest innovation to solve some of the toughest problems facing corporate America.
Hear from some of the world's greatest data science strategy minds, including Chief Data Scientists from GE, CIA, Verizon, and UnitedHealth Group.
Chief Data Scientist,
Chief Data Scientist, Zuora
Chief Data Scientist at Zuora, Inc (NYSE: ZUO), the leader in subscription business management software. He is a specialist in Churn analysis, having analyzed subscriber churn for more than 50 companies in his years at Zuora. Carl is now writing a book on churn entitled Fighting Churn with Data, to be published by Manning Publications in 2019 and selected previews from the book can be found on the website: https://fightchurnwithdata.com/
Global Chief Pricing Officer,
Global Chief Pricing Officer, McDonald's
A dynamic leader with proven expertise in developing and leveraging predictive analytics to build and execute transformative strategies for optimizing profitability and growth. Broad and diverse experiences in driving success in B2B, B2C, and online digital channels across multiple industries. Experience creating and leading best in class organizations in areas of pricing strategy, profitability management and big data and predictive analytics at GE, Cardinal Health, Officemax, Essendant, G4S and AutoZone. Led the development and successful implementation of the world’s first store-specific assortment and pricing optimization solution leveraging SAS and R. Drives change and innovation through effective cross-functional collaboration, communication, customer relations, and talent management. Demonstrated expertise leading high performance organizations to deliver P&L results across multiple industries.
Chief Digital Officer,
Chief Digital Officer, Forbes
Founder & CEO,
Founder & CEO, neptune.ml
Chief Analytics Officer,
Chief Analytics Officer, RationalAi
Artificial Intelligence Lab Director,
Knowledgent, a part of Accenture
Artificial Intelligence Lab Director, Knowledgent, a part of Accenture
Partner Solutions Architect ,
Amazon Web Service (AWS)
Partner Solutions Architect , Amazon Web Service (AWS)
Chief, Concepts Division,
US Army Special Operations Command (SOCOM)
Chief, Concepts Division, US Army Special Operations Command (SOCOM)
VP, Head of Data Science,
VP, Head of Data Science, Dotdash
VP, Chief Data and Analytics Officer,
VP, Chief Data and Analytics Officer, Northwell Health
Chris is a senior health care leader with over 20 years of experience developing analytic teams, establishing data governance, data warehousing and business intelligence implementation, delivering solutions focused on patient experience, outcomes, cost, population health, quality, regulatory and risk based arrangements, revenue cycle, health system operations. He has extensive experience with organizational transformation and specializes in integrating analytic, IT and Informatics teams across organizational lines to improve solution delivery and enabling data driven insight.
The nation's 14th-largest healthcare system, Northwell Health delivers world-class clinical care throughout the New York metropolitan area, pioneering research at the Feinstein Institute for Medical Research and a visionary approach to medical education highlighted by the Hofstra Northwell Health School of Medicine. Northwell Health cares for people at every stage of life at 21 hospitals and more than 450 outpatient ambulatory and physician practices throughout the region. Northwell Health’s owned hospitals and long-term care facilities house more than 6,600 beds, employ more than 15,000 nurses and have affiliations with more than 13,600 physicians. With a workforce of more than 61,000, Northwell Health is the largest private employer in New York State
Chief Commercial Data Scientist,
Chief Commercial Data Scientist, GE
Known as a bright, innovative executive with extreme strategic and tactical abilities, I create incredibly smart commercial processes by leveraging technology and data. You can expect timely impactful solutions that drive growth, productivity savings and process cycle time improvements…with a leader who can turbo-charge a team to work at “commercial speed”► Award driven execution
VP, Chief Data & Analytics Officer,
Mount Sinai Health System
VP, Chief Data & Analytics Officer, Mount Sinai Health System
Mount Sinai Health Partners is a critical lever in Mount Sinai’s vision to transform into the leading population health manager in the region. This won’t happen by luck or accident, it’ll be through innovative processes, novel technologies and highly capable people being fed rich datasets to make decisions at the right time. I’m honored to be a contributor to this program, heading up our population health analytics group. Building a team of analysts, engineers, and data science unicorns, we leverage our understanding of claims and clinical data to with data science methods and technologies to find new ways to stratify and operationalize population health management for our hundreds of thousands of at-risk lives.
As part of our ongoing commitment to data and analytics professionals, we interviewed 100 senior data and analytics professionals. The study was commissioned by Paxata, Accenture and Microsoft and the results are presented with commentary from our advisory board members and sponsors.
The following report is designed to give an overview of the challenges, opportunities and technology requirements facing those responsible for accelerating data and analytics within their organization.
This is not ‘just another data science event’ – it focuses on both the technical and strategic elements of leading data science in your organization. This means we bring you different, new, and tailored data science insights.
With 12 conversational break-outs dedicated to data science, plus a pre-conference focus day, tailor the agenda to your needs and benefit from the conversational break-outs. Plus, with 6+ hours of networking, the event provides crucial conversations and connections.
Hear from your peers, with industry leading speakers sharing the most successful data science projects from start to finish. Reduce prep time, keep up-to-date with the latest innovations, and discover insights applicable to your use case.
“Chief Data Scientist, USA was a unique experience which I really enjoyed. The speakers and panelists were from different domains and industries which enrich the content of the conference given that they were among the thought leaders in their domain."
Lead Data Scientist, CareerBuilder
“It was enlightening to attend an event that is focused on the management aspect of data science rather than the technical aspect.”
Director of Spike Labs, Edlio
“ I liked how applied it was. Great conversations to learn from real world experiences”.
Director, Intelligent Computing Research, Pearson
“Great networking opportunity with companies who value Data Science as a core tenet of their business”
Account Executive, Domino Data Lab
Building on our global conference series
Data Science New York is built on research with local Data Science leaders but also leverages our global Chief Data, Data Science and Analytics Officer community. We’re able to bring you content and speakers from international thought-leaders who have walked the path of analytics development.
Join our global 'hangout' community: