Senior Principal Data Scientist
Current
Jan 2024 - Present
AeroLeads people directory · profile
Richard Sharp Email & Phone Number
Senior Principal Data Scientist
at
Cambridge Mobile Telematics
2 work emails found
@cmtelematics.com
2 phones found area 912
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Principal Data Scientist
Location
Seattle, Washington, United States
Who is Richard Sharp? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Richard Sharp is listed as Senior Principal Data Scientist at Cambridge Mobile Telematics, based in Seattle, Washington, United States. AeroLeads shows a work email signal at cmtelematics.com, phone signal with area code 912, and a matched LinkedIn profile for Richard Sharp.
Richard Sharp previously worked as Principle Data Scientist at Cambridge Mobile Telematics and Data Scientist at Starbucks. Richard Sharp holds Doctor Of Philosophy (Ph.D.), Computational And Applied Mathematics from Princeton University.
Company email context
Email format at Cambridge Mobile Telematics
This section adds company-level context without repeating Richard Sharp's masked contact details.
{first_initial}{last}@cmtelematics.com
89% confidence
AeroLeads found 2 current-domain work email signals for Richard Sharp. Compare company email patterns before reaching out.
Profile bio
About Richard Sharp
Richard Sharp is a Senior Principal Data Scientist at Cambridge Mobile Telematics. He possess expertise in numerical analysis, analysis, research, science, software engineering and 4 more skills.
Listed skills include Numerical Analysis, Analysis, Research, Science, and 5 others.
Current workplace
Richard Sharp's current company
Company context helps verify the profile and gives searchers a useful next step.
7 roles · 21 years
Richard Sharp work experience
A career timeline built from the work history available for this profile.
Principle Data Scientist
Sep 2019 - Jan 2024
Data Scientist
Starbucks
Jul 2016 - Aug 2019
Machine Learning Scientist
Mar 2014 - Apr 2016
Jan 2011 - Mar 2014
Postdoctoral Associate
2007 - 2010
~3 yrs
Postdoctoral Fellow
The University Of Texas At Austin
Institute for Computational Engineering and Sciences and the Department of MathematicsApplied mathematical research: numerical methods for differential equations and applications to quantum transport.
2005 - 2007
~2 yrs
2 education records
Richard Sharp education
Doctor Of Philosophy (Ph.D.), Computational And Applied Mathematics
Princeton University
Ba, Mathematics
Northwestern University
FAQ
Frequently asked questions about Richard Sharp
Quick answers generated from the profile data available on this page.
What company does Richard Sharp work for?
Richard Sharp works for Cambridge Mobile Telematics.
What is Richard Sharp's role at Cambridge Mobile Telematics?
Richard Sharp is listed as Senior Principal Data Scientist at Cambridge Mobile Telematics.
What is Richard Sharp's email address?
AeroLeads has found 2 work email signals at @cmtelematics.com for Richard Sharp at Cambridge Mobile Telematics.
What is Richard Sharp's phone number?
AeroLeads has found 2 phone signal(s) with area code 912 for Richard Sharp at Cambridge Mobile Telematics.
Where is Richard Sharp based?
Richard Sharp is based in Seattle, Washington, United States while working with Cambridge Mobile Telematics.
What companies has Richard Sharp worked for?
Richard Sharp has worked for Cambridge Mobile Telematics, Starbucks, Globys Inc, Microsoft, and Carnegie Mellon University.
How can I contact Richard Sharp?
You can use AeroLeads to view verified contact signals for Richard Sharp at Cambridge Mobile Telematics, including work email, phone, and LinkedIn data when available.
What schools did Richard Sharp attend?
Richard Sharp holds Doctor Of Philosophy (Ph.D.), Computational And Applied Mathematics from Princeton University.
What skills is Richard Sharp known for?
Richard Sharp is listed with skills including Numerical Analysis, Analysis, Research, Science, Software Engineering, Mathematics, Data Mining, and Python.
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