Who is Jeremy Gray? Overview
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Jeremy Gray is listed as Data Science at Numerator, based in Canada, Canada, Canada. AeroLeads shows phone signal with area code 647 and a matched LinkedIn profile for Jeremy Gray.
Jeremy Gray previously worked as Data Science Lead at Numerator and Senior Data Scientist at Twitter. Jeremy Gray holds Doctor Of Philosophy (Phd), Biology from The University Of Auckland.
Email format at Numerator
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About Jeremy Gray
Data Scientist, R and Python Programmer, Data Science Instructor, Biologist, Statistician, Bioinformatician. Significant Expertise in Amazon AWS technologies, Data Wrangling, Big Data, Course Instruction and Design, Statistical Computing, Web App Design, Data Analysis Automation and Reproducible Research.Research Interests: Python and R programming, specifically in the creation and optimization of statistical tools and APIs.Currentmethods used include algorithm design, hidden Markov models, MCMC, non-linear optimization, supervised clustering, agent based modelling, as well as pedagogical methods in data science.
Listed skills include R, Python, Data Science, Sql, and 15 others.
Jeremy Gray's current company
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Jeremy Gray work experience
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Senior Data Scientist
Chief Data Scientist, Sophi
Manager, Data Science
Senior Data Scientist
Lead Educator, Data Science
Senior Data Scientist, R&D
Developed a model engine to carry out a wide range of tasks related to retail optimization, pricing, assortment and marketing.Moved existing solutions into Amazon Web Services, and developed new ones.Bayesian statistics, machine learning, linear and logisitic regression and optimization.Current tech stack:Python, AWS, EC2, S3, Redshift, R, Flask, Redis.
Contract Python Instructor To Data Science Team
Developing, designing and presenting a 10 week course in Python programming for data science to the 50 people in the Precima R&D and Applied Statistics teams.
Course Instructor, Eeb225 Biostatistics
Lectured 0.5 of a course, Biostatistics, for second year EEB majors. Course content involved t-tests, ANOVA, linear and multiple linear regression, logistic regression, ANCOVA and experimentaldesign. Developed new R labs and statistical lectures. A total of 12 hours lecturing, and 30 hoursleading computational labs.
Postdoctoral Fellow, Ecology And Evolutionary Biology
66% Computational - Developing two major R packages for high throughput statistical analysisof experimental data, and agent based modelling of evolution. Routinely carrying out statisticaltasks (ANOVA, linear and non-linear regression, survival analysis, image analysis). Working withgigabyte scale bioinformatic data - creating, automating and maintaining.
Rena Oil Spill Wildlife Response Team
Responsible for cleaning and caring for oiled wildlife
Door Outreach Team
Lab Technician
“Horizontal Gene Transfer in the New Zealand Environment”Environmental microbiology, soil science, molecular biology, statistics and data management.
Jeremy Gray education
Doctor Of Philosophy (Phd), Biology
Bachelor Of Science (Bsc), Genetics
Frequently asked questions about Jeremy Gray
Quick answers generated from the profile data available on this page.
What company does Jeremy Gray work for?
Jeremy Gray works for Numerator.
What is Jeremy Gray's role at Numerator?
Jeremy Gray is listed as Data Science at Numerator.
What is Jeremy Gray's phone number?
AeroLeads has found 2 phone signal(s) with area code 647 for Jeremy Gray at Numerator.
Where is Jeremy Gray based?
Jeremy Gray is based in Canada, Canada, Canada while working with Numerator.
What companies has Jeremy Gray worked for?
Jeremy Gray has worked for Numerator, Twitter, Globe And Mail, Brainstation, and Precima.
How can I contact Jeremy Gray?
You can use AeroLeads to view verified contact signals for Jeremy Gray at Numerator, including work email, phone, and LinkedIn data when available.
What schools did Jeremy Gray attend?
Jeremy Gray holds Doctor Of Philosophy (Phd), Biology from The University Of Auckland.
What skills is Jeremy Gray known for?
Jeremy Gray is listed with skills including R, Python, Data Science, Sql, Statistics, Machine Learning, Biostatistics, and Statistical Modeling.
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