Brian Weinstein Email & Phone Number
@google.com
5 phones found area 443, 718, 212, and 855
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Who is Brian Weinstein? Overview
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Brian Weinstein is listed as Staff Quant UX Researcher @ Google at Google, a with 1 employees, based in Washington, District of Columbia, United States. AeroLeads shows a work email signal at google.com, phone signal with area code 443, 718, 212, 855, and a matched LinkedIn profile for Brian Weinstein.
Brian Weinstein previously worked as Staff Quantitative User Experience Researcher at Google and Senior Quantitative User Experience Researcher at Google. Brian Weinstein holds Master Of Science (M.S.), Applied Mathematics from Columbia University.
Email format at Google
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AeroLeads found 1 current-domain work email signal for Brian Weinstein. Compare company email patterns before reaching out.
About Brian Weinstein
Brian Weinstein is a Staff Quant UX Researcher @ Google at Google. He possess expertise in physics, science, mathematica, mathematics, data analysis and 32 more skills. Colleagues describe him as "Brian is a diligent, brilliant, and collaborative data scientist. In the almost two years I have worked with Brian, he has shown tremendous passion for his work. When handling any technical limitations, he thinks outside the box to allow for more data opportunities. He is adaptable and cares about the overall outcome. Not only does Brian go above and beyond for his work, he is also a wonderful teammate. Everyone enjoys the light he carries to the team. I would gladly work with Brian again!"
Listed skills include Physics, Science, Mathematica, Mathematics, and 33 others.
Brian Weinstein's current company
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Brian Weinstein work experience
A career timeline built from the work history available for this profile.
Senior Quantitative User Experience Researcher
Ux Research Manager, Senior Quantitative Ux Researcher
Senior Quantitative User Experience Researcher
Quantitative UX & product research on Google Search
Director Of Data Science & Product Analytics
In my roles at Slice I managed a group of 7 Data Scientists and Product Analysts. We worked closely with the Product and Design teams to inform & guide the direction for all of our consumer- & restaurant-facing products. We did a mix of experiment design & analysis, product research, opportunity identification, metric development, and measurement.My role consisted of both people management and technical & operational leadership:- As a people manager I coached members of my team, set & checked-in on goals, and provided continuous feedback. I also designed the team’s roadmap in coordination with the Product and Design orgs. I take a lot of pride in building thoughtful, collaborative, and inclusive team cultures.- As a technical & operational lead I established processes for peer reviews, documentation, sprint planning, and retro. I revamped our interview process and performed candidate outreach & recruiting.
Senior Manager, Product Analytics
Manager, Data Science & Research
In this role I managed a group of 9 Data Scientists, Mixed Methods Researchers, and Data Engineers. We worked with the technology & business teams that focused on improving the WeWork member experience.- We partnered with the Product, Engineering, Research, and Design teams that build the member-facing WeWork apps and the teams that build internal tools for building managers. We also partnered with business teams to lead research programs around building managers and WeWork members.
Senior Data Scientist, Tech Lead
In this role I worked with the product teams that built the member-facing WeWork App and with the teams that built internal tools for building managers. I used methods from statistics, machine learning, and social science research to inform decision making and guide the strategy of these groups. I did a mix of:- Experimentation & A/B testing, both in our tech products and in WeWork buildings- Development of success metrics & quantitative measurement plans- Quantitative social science research, survey development, and survey analysis- Opportunity identificationI also served as the Technical Lead for our 14-person group of Data Scientists, Data Engineers, and Researchers. In this role I helped establish best practices for technical execution, analytical rigor, reproducibility, team processes, etc. by- Hosting office hours for team members to drop in, do group brainstorming, give & receive feedback, get code reviews, do mid-project check-ins, etc.- Launching and facilitating the team’s peer review process- Developing process for documenting our work, both internally and externally- Developing our Data Scientist leveling guidelines and Interviewing script, in collaboration with others- Facilitating standup, sprint planning, and retro- Teaching courses in R, Success Metrics, and Data x Product Collaboration for our internal training programsI also managed two Data Scientists and a Data Science Intern.
Data Scientist
Senior Analyst, Data Science
- Analyze user interactions with product features, performance of A/B tests, and performance of marketing strategies to inform and drive business decisions; Develop internal guidelines for A/B test design and analysis- Develop a model to determine how various attributes of first-time buyers help estimate the likelihood of subsequent orders, informing paid and email advertising strategy- Build a model to understand how attributes of sellers are related to their sales performance, guiding our suggestions to sellers- Build a model to identify users who are likely to make a purchase in the near future, prioritizing the users who our sales team should contact- Design an algorithm that redirects a user from a sold item to a similar available item, improving SEO ranking- Design an algorithm to power site and email personalization via implicit & explicit user behavior, using BigQuery- Manage an intern (training in R and SQL, and in ETL and data mining methods; lead projects and code reviews)- Manage development of an internal R package that helps access data sources and performs data manipulations
Data Analyst
- Analyzed both user-generated and operational data to propose product and marketing improvements- Developed a model that predicts order cancellations, prompting improvements to product and user flow- Wrote Google Analytics tracking requirements for both Web and App platforms- Trained teammates in R, SQL, Google BigQuery, Google Analytics, Google Tag Manger, and Optimizely
Web Analytics Intern
- Researched and wrote Google Analytics tracking requirements to record the performance of site features- Analyzed site data using R, SQL, and Microsoft Excel to propose data-driven product improvements- Ensured proper tracking implementation via quality assurance testing and collaboration with web developers- Ensured proper tracking implementation via quality assurance testing and collaboration with web developers
People Operations Intern
- Created and implemented an algorithm that determined merit-based wage increases for 550 employees- Monitored and analyzed feedback from 2000 former employees using SurveyMonkey and Microsoft Excel- Collaborated with both the Human Resources and Accounting departments to ensure compliance with union and employee contracts- Digitalized training programs to streamline the training process for more than 2000 employees using the SkyPrep Online Training Software
Research Assistant
- Developed and expanded a method for solving interacting, four-body quantum systems in a one-dimensional harmonic trap using Wolfram Mathematica; Wrote at 32-page paper in LaTeX- Presented a poster the American Physical Society March 2013 Meeting, the Robyn Rafferty Mathias Student Research Conference (awarded “Best Poster Presentation in the Sciences by a Junior/Senior”), and the 2013 Honors Capstone Research Conference (awarded “Outstanding Presentation in the Natural Sciences”)- Trained the incoming research assistant in the basics of Quantum Mechanics and in other topics relevant to the research project, including coding best practices in Wolfram Mathematica
Resident Assistant
- Planned and implemented a year-long residential education syllabus for an Honors floor of 70 students- Planned and coordinated educational and social programs for residents- Provided support to victims and survivors of depression, eating disorders, partner violence, and sexual assault- Served as on-call duty support for emergencies and university violations- Wrote incident and room inventory reports
Teaching Assistant
- Tutored 1 to 6 students each week, both individually and in groups, in mathematics and physics courses- Coded interactive Mathematica demonstrations to help students understand new and difficult topics- Developed custom exercises to cater instruction to the needs of each student
Chief Of Staff, Residence Hall Association
- Collaborated with the President in carrying out advocacy work by chairing committees, researching advocacy issues (e.g., residence hall security, damage fee policy), and meeting with university professional staff members- Researched, benchmarked, and wrote a 4-page resolution calling for stricter residence hall security (http://goo.gl/z88Wr)- Managed the organization’s Facebook and Twitter pages through the HootSuite Social Media Management Dashboard
Research Fellow
- Programmed and built a lab temperature monitoring and control system using the Arduino microcontroller; Designed and machined a housing and panel for the Arduino in SolidWorks CAD Software- Delivered a 35-minute PowerPoint presentation on “Temperature Monitoring and Control in Laser Cooling Laboratories” to 30 undergraduates, graduates, postdocs, and PIs and answered questions in NIST’s Laser Cooling Group
Colleagues at Google
Other employees you can reach at google.com. View company contacts for 1 employees →
Jerson Gonzalez
Colleague at GoogleBogota, D.C., Capital District, Colombia
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HA
Ht Al
Colleague at GoogleHeredia, Costa Rica
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CM
Cory Murphy
Colleague at GoogleGreater Indianapolis, United States
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JY
Jeffrey Yasskin
Colleague at GooglePortland, Oregon, United States
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AM
Amir Mohamad
Colleague at GoogleIran, Islamic Republic Of
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SL
Soo Lee
Colleague at GoogleSan Francisco Bay Area, United States
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RB
Roman Bogdanov
Colleague at GoogleGreater Seattle Area, United States
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PT
Philip Troxel
Colleague at GoogleFlint, Michigan, United States
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RM
Rhett Morici
Colleague at GoogleGreater Chicago Area, United States
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JW
Jeremy Wright
Colleague at GoogleNew York, United States
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Brian Weinstein education
Master Of Science (M.S.), Applied Mathematics
Bachelor Of Science (B.S.), Physics
Frequently asked questions about Brian Weinstein
Quick answers generated from the profile data available on this page.
What company does Brian Weinstein work for?
Brian Weinstein works for Google.
What is Brian Weinstein's role at Google?
Brian Weinstein is listed as Staff Quant UX Researcher @ Google at Google.
What is Brian Weinstein's email address?
AeroLeads has found 1 work email signal at @google.com for Brian Weinstein at Google.
What is Brian Weinstein's phone number?
AeroLeads has found 5 phone signal(s) with area code 443, 718, 212, 855 for Brian Weinstein at Google.
Where is Brian Weinstein based?
Brian Weinstein is based in Washington, District of Columbia, United States while working with Google.
What companies has Brian Weinstein worked for?
Brian Weinstein has worked for Google, Slice, Wework, 1Stdibs.Com, and Maryland Live Casino.
Who are Brian Weinstein's colleagues at Google?
Brian Weinstein's colleagues at Google include Jerson Gonzalez, Ht Al, Cory Murphy, Jeffrey Yasskin, and Amir Mohamad.
How can I contact Brian Weinstein?
You can use AeroLeads to view verified contact signals for Brian Weinstein at Google, including work email, phone, and LinkedIn data when available.
What schools did Brian Weinstein attend?
Brian Weinstein holds Master Of Science (M.S.), Applied Mathematics from Columbia University.
What skills is Brian Weinstein known for?
Brian Weinstein is listed with skills including Physics, Science, Mathematica, Mathematics, Data Analysis, Microsoft Office, Latex, and Python.
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