Senior Data Scientist
Current
May 2021 - Present
AeroLeads people directory · profile
Nick Knowles Email & Phone Number
Senior Data Scientist
at
Algonomy
1 work email found
@algonomy.com
2 phones found area 253
LinkedIn matched
4 data sources
Profile completeness 100%
Who is Nick Knowles? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Nick Knowles is listed as Senior Data Scientist at Algonomy, based in Seattle, Washington, United States. AeroLeads shows a work email signal at algonomy.com, phone signal with area code 253, and a matched LinkedIn profile for Nick Knowles.
Nick Knowles previously worked as Data Scientist II at Algonomy and Data Scientist II at Richrelevance. Nick Knowles holds Bachelor Of Science (Bs), Computer Science from Western Washington University.
Company email context
Email format at Algonomy
This section adds company-level context without repeating Nick Knowles's masked contact details.
{first}.{last}@algonomy.com
86% confidence
AeroLeads found 1 current-domain work email signal for Nick Knowles. Compare company email patterns before reaching out.
Profile bio
About Nick Knowles
Currently working on the data science team at Algonomy.knowlen.github.io
Listed skills include Machine Learning, Deep Learning, Reinforcement Learning, Tensorflow, and 29 others.
Current workplace
Nick Knowles's current company
Company context helps verify the profile and gives searchers a useful next step.
9 roles
Nick Knowles work experience
A career timeline built from the work history available for this profile.
Data Scientist Ii
Jan 2021 - May 2021
Data Scientist Ii
Apr 2019 - Jan 2021
Data Scientist
Apr 2018 - Apr 2019
Research Assistant Iii
Paid position contributing to research in the Machine Learning Lab at WWU.Advisor: Brian HutchinsonFocus: Neural Networks, Anomaly Detection, Language Modeling, and Cyber Security.Presented poster at UCLA Institute for Pure and Applied Mathematics: "New Deep Learning Techniques" 2018 conference..
Mar 2016 - Mar 2018
Mar 2016 - Jun 2016
Research Intern
Host: Nicole NicholsExplored applications of Deep Learning to insider threat detection. Worked with high volume & high frequency data in motion.Project code: github.com/pnnl/safekitAbout: PNNL advances the frontiers of knowledge, taking on some of the world’s greatest science and technology challenges. Distinctive strengths in chemistry, earth sciences.
Jun 2017 - Sep 2017
Backstage Caterer
Catering and hospitality for musicians during live performances / events
Jun 2015 - Aug 2015
Team Member
Mar 2014 - Feb 2015
3 education records
Nick Knowles education
Bachelor Of Science (Bs), Computer Science
Western Washington University
Computer Science
Green River College
Education record
Pierce College
FAQ
Frequently asked questions about Nick Knowles
Quick answers generated from the profile data available on this page.
What company does Nick Knowles work for?
Nick Knowles works for Algonomy.
What is Nick Knowles's role at Algonomy?
Nick Knowles is listed as Senior Data Scientist at Algonomy.
What is Nick Knowles's email address?
AeroLeads has found 1 work email signal at @algonomy.com for Nick Knowles at Algonomy.
What is Nick Knowles's phone number?
AeroLeads has found 2 phone signal(s) with area code 253 for Nick Knowles at Algonomy.
Where is Nick Knowles based?
Nick Knowles is based in Seattle, Washington, United States while working with Algonomy.
What companies has Nick Knowles worked for?
Nick Knowles has worked for Algonomy, Richrelevance, Western Washington University, Pacific Northwest National Laboratory - Pnnl, and Ripe Catering, Inc.
How can I contact Nick Knowles?
You can use AeroLeads to view verified contact signals for Nick Knowles at Algonomy, including work email, phone, and LinkedIn data when available.
What schools did Nick Knowles attend?
Nick Knowles holds Bachelor Of Science (Bs), Computer Science from Western Washington University.
What skills is Nick Knowles known for?
Nick Knowles is listed with skills including Machine Learning, Deep Learning, Reinforcement Learning, Tensorflow, Python, Artificial Neural Networks, C, and Linux.
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