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Justin Rivera Email & Phone Number

Senior Data Scientist
Location: Boston, Massachusetts, United States 8 work roles 2 schools
1 work email found @intuit.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

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Role
Senior Data Scientist
Location
Boston, Massachusetts, United States

Who is Justin Rivera? Overview

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Quick answer

Justin Rivera is listed as Senior Data Scientist based in Boston, Massachusetts, United States. AeroLeads shows a work email signal at intuit.com and a matched LinkedIn profile for Justin Rivera.

Justin Rivera previously worked as Senior Data Scientist at Intuit and Business Data Analyst at Intuit. Justin Rivera holds Bachelor'S Degree, Applied Mathematics from Wentworth Institute Of Technology.

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Email format at intuit.com

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{first}_{last}@intuit.com
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Profile bio

About Justin Rivera

I'm a senior product analyst with a growing passion for product-facing machine learning applications. I come from a mathematics background with extensive undergraduate research experience and I was planning for a long time to enter into a Mathematics Ph.D. program, but found my way into industry instead.The field of data science is extremely fascinating to me, because it sits at the cross section of business impact and technical prowess. Machine Learning and AI are undoubtedly changing the landscape of our world, so I want leveraging my technical skills to help build innovative products that seek to improve the lives of its users (and in doing so, hopefully make the world a better place).I am an extremely curious person and am led by a love of learning. I value collaboration and relationship building as well as being challenged and pushed to grow both professionally and personally. I strive in my life to be a person of integrity and to make things just a little bit better wherever I can.

Listed skills include Research, Microsoft Word, Microsoft Powerpoint, Public Speaking, and 6 others.

8 roles

Justin Rivera work experience

A career timeline built from the work history available for this profile.

Senior Data Scientist

Boston, Ma, Us

Business Data Analyst

San Diego, California, United States

- Built recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development - Served as a thought partner with product strategists providing recommendations on hypothesis formulation, experimentation plans, and impact estimates - Defined, implemented and standardized metrics, reports and dashboards leveraging Tableau/Amplitude- Answered ad-hoc analytic questions, contributed to decision-making through opportunity sizing, and trained users to self-serve standard reports - Collaborated both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers - Pursued data quality, troubleshoot data validation, and see issues through to resolution - Ensured data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases - Partnered directly with teams to effectively communicate requirements, prioritization and commitment to a co-owned and evolving product strategy - Championed data-driven decision-making in my team

Mar 2023 - May 2024

Business Data Analyst

San Diego, California, United States

- Built recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development - Served as a thought partner with product strategists providing recommendations on hypothesis formulation, experimentation plans, and impact estimates - Defined, implemented and standardized metrics, reports and dashboards leveraging Tableau/Amplitude- Answered ad-hoc analytic questions, contributed to decision-making through opportunity sizing, and trained users to self-serve standard reports - Collaborated both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers - Pursued data quality, troubleshoot data validation, and see issues through to resolution - Ensured data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases - Partnered directly with teams to effectively communicate requirements, prioritization and commitment to a co-owned and evolving product strategy - Championed data-driven decision-making in my team

Nov 2021 - Jul 2022

Associate Business System Analyst

Greater San Diego Area

•Provided absolutely critical quantitative analysis to CEO and esteem Washington DC lawyer during peak business emergency• Designed a solution for an ecommerce platform with a PIM and order automation into company’s ERP system. Successfully lead the integration and implementation of two different 3rd party solutions for the ecommerce platform’s construction.• Utilized Python, SQL, and Tableau to create business intelligence reports for employee daily operational use, daily managerial oversight of KPI’s, and more sophisticated business analysis; some of which lead to a change in strategic decision making. One set of reports saved an employee around 100 hours of work per year.• Conducted and lead requirement gathering meetings to revise business intelligence reports, business processes, and business systems for increased efficacy.• Provided ad hoc reports and analysis in order to give insights to technical/non-technical colleagues across multiple different departments; sales, accounting, furniture services, business systems.

Oct 2019 - Oct 2021

Data Analyst

Greater Atlanta Area

• Effectively analyzed data surrounding AWS (Amazon Web Services) resources to help reduce the organizations monthly bill by $100K.• Utilized SQL and Microsoft Excel in order to create reports used to inform executive level members about company performance during the busiest and most important times of the business year.• Provided accurate analysis on a quarterly basis that was directly used to alter the proportion of business with partners; up to hundreds of thousands of dollars a month.• Directly worked with business partners to shape advertisement request traffic so as to increase efficiency of the company’s technology resources by up to 15%.• Provided ad hoc reports and analysis in order to give insights to technical/non-technical colleagues across multiple different departments; product, engineering, operations, client services, finance.• Served as the primary liaison between the business and operations teams in order to prepare and manage the technological infrastructure for increased data flow and storage due to new client onboarding.

Sep 2018 - Sep 2019

Reservations System Analyst

United States

• Lead the company wide integration of backend data with Tableau and created automated visualizations around KPI performance, which was critical for the startup’s understanding of its daily performance.• Revamped the structure of restaurant reservation availability, supported by extensive data analysis, which resulted in around a 10% decrease in the inability to fulfill a user’s reservation request.• Discovered a strong correlation between a confirmable user dining experience and the offering of small promotional code. Additionally, investigation and analysis revealed user proficiency increased with each subsequent dining experience booked through the app. These findings in conjunction allowed for the intelligent implementation of a promotion scheme, which suggested a long-term increase in company performance.• Created dozens of Tableau visualization to track and monitor secondary KPI’s and user behavior patterns.

Dec 2017 - Sep 2018

Undergraduate Researcher

San Francisco Bay Area

• Selected to participate in a prestigious six-week intensive summer research program in advanced mathematics.• Utilized theoretical/computational analyses in effort to answer open-ended mathematical queries on a team of two.• Coded in sage (similar to Python) to produce large quantities of data.• Learned MySQL to create an online database to make information publicly available.• Presented daily reports summarizing work to supervising researcher.• Formally resented weekly achievements to all program participates, supervisors, and heads of research institute.---The Abelian Sandpile Model is a model which displays self-organized criticality. It was first introduced by Bak, Tang and Wiesenfeld in 1987 as the simplest model to display such behavior. The model was originally defined on a finite grid, but can be extended more generally to finite graphs as well.In this project, we created a database of isomorphism classes and sandpile groups for a family of graphs called circulant graphs. We further focused our attention to determining the explicit structure of the sandpile group for a specific family of circulant graphs.

Jun 2016 - Jul 2016

Undergraduate Researcher

Raleigh-Durham, North Carolina Area

• Selected to participate in a prestigious ten-week intensive summer research program in advanced mathematics.• Used finite difference methods to estimate results for differential equations at an interface on a student team of three.• Implemented code in MATLAB to compare efficiency of algorithms on a set of specialized problems.• Presented daily reports to the lead researcher summarizing our results.• Presented biweekly to all program participants, program supervisors, and faculty in a formal setting.---There are numerous applications of ordinary or partial differential equations of boundary value problems (BVPs) such as the Navier-Stokes equations for bubble simulations or the Stefan problem modeling the interface between ice and water that are known as interface problems. For many interface problems, the free boundary or moving interface depends on the gradient of the solution. It is important to obtain not only the accurate solution but also accurate first order derivatives of the solution. There are several effective numerical methods such as finite difference or finite element methods for numerical ODE/PDEs that can generate accurate solutions but less accurate derivatives. During our research, we explored ways to compute solutions and derivatives to ODE/PDE BVPs accurately at the same time, particularly using a finite difference discretization.

May 2015 - Aug 2015
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2 education records

Justin Rivera education

Education record

Activities and Societies: MASS programThe Mathematics Advanced Study Semesters (MASS) program started in the Fall of 1996 and is held.

FAQ

Frequently asked questions about Justin Rivera

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What is Justin Rivera's role at their current company?

Justin Rivera is listed as Senior Data Scientist.

What is Justin Rivera's email address?

AeroLeads has found 1 work email signal at @intuit.com for Justin Rivera.

Where is Justin Rivera based?

Justin Rivera is based in Boston, Massachusetts, United States.

What companies has Justin Rivera worked for?

Justin Rivera has worked for Intuit, Coronado Distribution Company, Ignitionone, Seated, and Mathematical Sciences Research Institute - Msri.

How can I contact Justin Rivera?

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What schools did Justin Rivera attend?

Justin Rivera holds Bachelor'S Degree, Applied Mathematics from Wentworth Institute Of Technology.

What skills is Justin Rivera known for?

Justin Rivera is listed with skills including Research, Microsoft Word, Microsoft Powerpoint, Public Speaking, Data Visualization, R, Tableau, and Data Analytics.

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