Senior Data Scientist
Current
Aug 2021 - Present
AeroLeads people directory · profile
Brett Lantz Email & Phone Number
Senior Data Scientist at PlayStation
at
PlayStation
1 work email found
@playstation.com
1 phone found area 734
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Data Scientist at PlayStation
Location
Ann Arbor, Michigan, United States
Who is Brett Lantz? Overview
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Quick answer
Brett Lantz is listed as Senior Data Scientist at PlayStation at PlayStation, based in Ann Arbor, Michigan, United States. AeroLeads shows a work email signal at playstation.com, phone signal with area code 734, and a matched LinkedIn profile for Brett Lantz.
Brett Lantz previously worked as Senior Data Scientist at Playstation and Director of Data Science & Decision Support at University Of Michigan. Brett Lantz holds Bachelor Of Science (Bs), Sociology from University Of Michigan.
Company email context
Email format at PlayStation
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{first}{last}@playstation.com
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AeroLeads found 1 current-domain work email signal for Brett Lantz. Compare company email patterns before reaching out.
Profile bio
About Brett Lantz
Over 10 years of professional experience applying statistical modeling and data mining methods to large datasets for business, social, and health research applications. Capable teacher and communicator of data science and statistics; author of best-selling textbook "Machine Learning with R," instructor at datacamp.com, and regular speaker at conferences and webinars. Proficient in the use of R, Python, SAS, SQL, Excel, and Tableau for data preparation and analysis; experience with Apache Spark and Databricks for big data analysis and JavaScript for web app development.
Listed skills include R, Sas, Sql, Python, and 24 others.
Current workplace
Brett Lantz's current company
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11 roles
Brett Lantz work experience
A career timeline built from the work history available for this profile.
Director Of Data Science & Decision Support
I managed a small team of data scientists and data engineers using machine learning, data mining, and statistical analysis methods to provide analytic support for university fundraising. We used R, Python, and SQL scripts for data preparation, modeling, segmentation, and entity matching on a database of over 2M potential donors to the university and health system. We developed interactive Tableau dashboards and artificial intelligence driven web applications to provide self-service delivery of analytics products. Our latest work focused on the creation of “big data” advanced analytics data pipelines implemented using Apache Spark via Databricks on the Microsoft Azure cloud platform in order to enable analysis and forecasting of behavioral and interest data.
Mar 2020 - Jul 2021
Senior Associate Director Of Analytics
Sep 2017 - Mar 2020
Associate Director Of Analytics
Sep 2015 - Aug 2017
Assistant Director Of Analytics
May 2014 - Aug 2015
Data Scientist
Nov 2012 - Apr 2014
Research Analyst Ii
Conducted analyses of observational health care data to inform policy makers, reduce treatment costs, and improve patient outcomes. Developed SAS and SQL programs to analyze large datasets from public and private sources. Typical statistical methods used included mixed models, survival models, and logistic or count models. Presented findings at professional conferences and in manuscripts.
Nov 2008 - Oct 2012
Data Programmer Intern
Performed a meta-analysis / audit of microarray cancer datasets by writing custom analysis programs in Python and SQL and developing presentation graphics and tables in Excel. Contributed to the company's documentation of data transformation and cleaning procedures.
May 2008 - Aug 2008
Data Mining Lab Assistant
Provided technical support for SAS and SAS Enterprise Miner installations on university and student hardware. Provided tutoring for data mining coursework and assistance debugging SAS code. Supported the development of SAS programs including an admissions forecasting program and a SAS-based online survey for a commercial client.
Aug 2007 - May 2008
Research Assistant
Sociological analyst on an interdisciplinary study of social networks using a large database of cellular phone calls (approximately 30 million records). Developed Python programs for data preparation and cleaning, link analysis, and data mining. Analyzed results using Stata.
Sep 2004 - Aug 2007
Web Developer
Indepthlearning
Developed innovative web-based applications for educational and behavioral research. Designed and coded website construction kit and payroll applications using PHP, Python, JavaScript, HTML, and SQL.
Jan 2001 - Aug 2004
3 education records
Brett Lantz education
Bachelor Of Science (Bs), Sociology
University Of Michigan
Master Of Arts (Ma), Sociology
University Of Notre Dame
Graduate Coursework, Data Mining
University Of Central Florida
FAQ
Frequently asked questions about Brett Lantz
Quick answers generated from the profile data available on this page.
What company does Brett Lantz work for?
Brett Lantz works for PlayStation.
What is Brett Lantz's role at PlayStation?
Brett Lantz is listed as Senior Data Scientist at PlayStation at PlayStation.
What is Brett Lantz's email address?
AeroLeads has found 1 work email signal at @playstation.com for Brett Lantz at PlayStation.
What is Brett Lantz's phone number?
AeroLeads has found 1 phone signal(s) with area code 734 for Brett Lantz at PlayStation.
Where is Brett Lantz based?
Brett Lantz is based in Ann Arbor, Michigan, United States while working with PlayStation.
What companies has Brett Lantz worked for?
Brett Lantz has worked for Playstation, University Of Michigan, Arbor Research Collaborative For Health, Compendia Bioscience, and University Of Central Florida.
How can I contact Brett Lantz?
You can use AeroLeads to view verified contact signals for Brett Lantz at PlayStation, including work email, phone, and LinkedIn data when available.
What schools did Brett Lantz attend?
Brett Lantz holds Bachelor Of Science (Bs), Sociology from University Of Michigan.
What skills is Brett Lantz known for?
Brett Lantz is listed with skills including R, Sas, Sql, Python, Data Mining, Machine Learning, Social Network Analysis, and Statistics.
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