Shawn Marks Email & Phone Number
@cvshealth.com
LinkedIn matched
Who is Shawn Marks? Overview
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Shawn Marks is listed as Lead Data Scientist at CVS Health, based in Brooklyn, New York, United States. AeroLeads shows a work email signal at cvshealth.com and a matched LinkedIn profile for Shawn Marks.
Shawn Marks holds Doctor Of Philosophy (Phd), Neuroscience from University Of California, Berkeley.
Email format at CVS Health
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AeroLeads found 1 current-domain work email signal for Shawn Marks. Compare company email patterns before reaching out.
About Shawn Marks
Shawn Marks is a Lead Data Scientist at CVS Health. They possess expertise in python, data science, data analytics, neuroscience, machine learning and 10 more skills.
Listed skills include Python, Data Science, Data Analytics, Neuroscience, and 11 others.
Shawn Marks's current company
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Shawn Marks work experience
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Lead Data Scientist
Shawn Marks education
Doctor Of Philosophy (Phd), Neuroscience
Bachelor Of Science - Bs, Psychology
Frequently asked questions about Shawn Marks
Quick answers generated from the profile data available on this page.
What company does Shawn Marks work for?
Shawn Marks works for CVS Health.
What is Shawn Marks's role at CVS Health?
Shawn Marks is listed as Lead Data Scientist at CVS Health.
What is Shawn Marks's email address?
AeroLeads has found 1 work email signal at @cvshealth.com for Shawn Marks at CVS Health.
Where is Shawn Marks based?
Shawn Marks is based in Brooklyn, New York, United States while working with CVS Health.
What companies has Shawn Marks worked for?
Shawn Marks has worked for Cvs Health.
How can I contact Shawn Marks?
You can use AeroLeads to view verified contact signals for Shawn Marks at CVS Health, including work email, phone, and LinkedIn data when available.
What schools did Shawn Marks attend?
Shawn Marks holds Doctor Of Philosophy (Phd), Neuroscience from University Of California, Berkeley.
What skills is Shawn Marks known for?
Shawn Marks is listed with skills including Python, Data Science, Data Analytics, Neuroscience, Machine Learning, R, Data Analysis, and Cognitive Neuroscience.
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