Nathaniel Richmond Email & Phone Number
@shopify.com
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Who is Nathaniel Richmond? Overview
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Nathaniel Richmond is listed as Senior Analytics Engineer at Netflix, a with 17330 employees, based in Frisco, Texas, United States. AeroLeads shows a work email signal at shopify.com and a matched LinkedIn profile for Nathaniel Richmond.
Nathaniel Richmond previously worked as Staff Data Scientist at Shopify and Principal Data Scientist - Direct Store Delivery at Keurig Dr Pepper Inc.. Nathaniel Richmond holds Doctor Of Philosophy (Ph.D.), Applied Mathematical And Computational Sciences from University Of Iowa.
Email format at Netflix
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AeroLeads found 1 current-domain work email signal for Nathaniel Richmond. Compare company email patterns before reaching out.
About Nathaniel Richmond
In this phase of my career, I use data to guide product strategy. I've also spent years building and deploying machine learning and mathematical optimization algorithms. I love tackling nebulous problems with brilliant people. I ramp up slowly so I can understand deeply. I love what I do.
Listed skills include Research, Teaching, Optimization, Mathematical Modeling, and 32 others.
Nathaniel Richmond's current company
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Nathaniel Richmond work experience
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Staff Data Scientist
Building cross-functional metrics, driving data-informed strategy, and establishing foundational data pipelines. Working on some fun projects like demand forecasting.Leading the Orders data team as of December 2022.
Principal Data Scientist - Direct Store Delivery
Led and grew all data science activities on the Direct Store Delivery team, which is responsible for delivering products to over 200k stores nationwide with a fleet of more than 10k trucks. - Developed a first-of-its-kind product recommender system that applies machine learning techniques to various data streams to identify store-level customized product suggestions. I was the sole technical contributor and built a simulation sandbox that estimated millions of dollars in incremental revenue opportunity.- Managed teams of contractors to build and deploy a highly complex demand forecasting system that recommends data-driven replenishment order quantities at KDP's stores. This system is helping to drive better account-level inventory management, save employees time, and improve various KPIs. - Managed a team of contractors to develop a store/product-level inventory estimator which is a key enhancement to the aforementioned order replenishment system.
Lead Data Scientist - Operations Research
Led the analytics initiatives in major multi-year projects within the agricultural products business unit, yielding millions in estimated annual savings. Managed interns and contractor teams, while still serving as the primary technical contributor. - Built, validated, tested, and deployed the optimization engine (20k+ lines of code) within an in-house software tool that manages railcar distribution and assignment within the agricultural products business unit. This engine is expected to generate millions of dollars in annual savings.- Developed a decomposition algorithm within Java using CPLEX to assign railcars to trains more efficiently.- Created a reporting tool that alerts equipment managers to inefficient routing of trains and suggests remedial actions. This tool solves the shortest path problem iteratively, and is estimated to save six figures annually.
Sr. Operations Research & Advanced Analytics Specialist
Worked on various rail-related logistics optimization problems, served as project manager for key initiatives, and drove business value through increased data-driven decision making.- Developed optimization algorithms within complex simulations of multiple intermodal facilities in AnyLogic. These simulations gave insights which were used to inform expansion and investment decisions worth hundreds of millions of dollars. - Deployed a train-to-track assignment algorithm that maximizes terminal through-traffic while accommodating fueling, crew changes, inspections, etc.- Managed a team of consultants on the development, testing, and deployment of a machine learning model to predict empty railcar availability.
Graduate Student Researcher
During this time, I concluded my graduate research and finished my dissertation, titled "On Stochastic Network Design: Modeling Approaches and Solution Techniques"
Solutions Manager
I worked part-time as a Solutions Manager at CRST Logistics, while finishing up my Ph.D. thesis work. Using network optimization methods and software, our team worked to generate efficient loads and routes for LTL and truckload shipments. Value added:- Created an interactive pricing tool within Excel for quickly implementing upcharges or discounts at various geographic levels: region, state, and 3-digit zip code.- Devised a mathematical network optimization solution within Python for selecting optimal distribution center locations. Six-figure savings were estimated for a test client.- Implemented various macros within Excel VBA for improving the efficiency of regular tasks for analysts.
Teaching Assistant
I led discussion sections and served as the independent instructor for various mathematics courses, listed below. Fall 2011 - Calculus I for Engineers (discussion sections)Spring 2012 - Calculus and Matrix Algebra for Business (discussion sections)Fall 2012 - Mathematics for Business (discussion sections)Spring 2013 - Calculus and Matrix Algebra for Business (discussion sections)Fall 2013 - College Algebra (independent instructor)Spring 2014 - Logic of Arithmetic (discussion sections)Fall 2014 - College Algebra with ALEKS (independent instructor)Spring 2015 - Engineering Math II: Multivariable Calculus (discussion section)
Visiting Researcher
Project funded by the NSF East Asia and Pacific Summer Institute (EAPSI). Supervised by Dr. Dmytro Matsypura at the University of Sydney. I studied and created methods to design resilient networks. I coded software to solve network design problems in which user actions (e.g. bridge reinforcement) affect the probabilities of future failure (e.g. earthquake damage). Project results can be readily applied to telecommunications, power, road, airline, and shipping networks.
Air Force Summer Faculty Fellowship Program
Supervised by Dr. Pavlo Krokhmal (University of Iowa) and Dr. Eduardo Pasiliao (Air Force Research Laboratory). I formulated a model for networks that grow over time, subject to uncertain build times, whose solution presents an optimal design strategy for the network.
Visiting Researcher
Supervised by Dr. Peter Jacko. For two more weeks, I continued work on the project begun at the Basque Center for Applied Mathematics.
Research Intern, Networks Group
Supervised by Dr. Peter Jacko. I used discretized Markov Decision Processes to model and optimize energy systems with a high penetration of renewables.
Summer Assistant To The Academic Dean
During the summers of 2009-2011, I assisted Dr. Aris Cedeño (Academic Dean and Executive Director of the Governor's Scholar Program) with administrative duties on the Bellarmine University campus and on trips to the other two campuses.
Physics Tutor
Tutored other undergraduate students in introductory physics courses.
Mathematics Tutor
Tutored other undergraduate students in introductory mathematics courses.
Colleagues at Netflix
Other employees you can reach at netflix.com. View company contacts for 17330 employees →
Shiondre Austin
Colleague at NetflixLos Angeles, California, United States
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Laura Da Silva
Colleague at NetflixFrance
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Pragya Priyadarshini
Colleague at NetflixMumbai, Maharashtra, India
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Sadaf Owais
Colleague at NetflixKarachi Division, Sindh, Pakistan
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Sofia Maas
Colleague at NetflixUnited States
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MY
Michael Young
Colleague at NetflixLos Angeles, California, United States
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CJ
Cherliza Jimenez
Colleague at NetflixNew York City Metropolitan Area, United States
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Carveos Canjery
Colleague at NetflixLos Angeles County, California, United States
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PE
Prajakta Ekatpure
Colleague at NetflixMumbai, Maharashtra, India
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SA
Sudhakar A
Colleague at NetflixSunnyvale, California, United States
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Nathaniel Richmond education
Doctor Of Philosophy (Ph.D.), Applied Mathematical And Computational Sciences
Master Of Science (Ms), Mathematics
Bachelor Of Science (Bs), Mathematics, Physics
Frequently asked questions about Nathaniel Richmond
Quick answers generated from the profile data available on this page.
What company does Nathaniel Richmond work for?
Nathaniel Richmond works for Netflix.
What is Nathaniel Richmond's role at Netflix?
Nathaniel Richmond is listed as Senior Analytics Engineer at Netflix.
What is Nathaniel Richmond's email address?
AeroLeads has found 1 work email signal at @shopify.com for Nathaniel Richmond at Netflix.
Where is Nathaniel Richmond based?
Nathaniel Richmond is based in Frisco, Texas, United States while working with Netflix.
What companies has Nathaniel Richmond worked for?
Nathaniel Richmond has worked for Netflix, Shopify, Keurig Dr Pepper Inc., Bnsf Railway, and The University Of Iowa.
Who are Nathaniel Richmond's colleagues at Netflix?
Nathaniel Richmond's colleagues at Netflix include Shiondre Austin, Laura Da Silva, Pragya Priyadarshini, Sadaf Owais, and Sofia Maas.
How can I contact Nathaniel Richmond?
You can use AeroLeads to view verified contact signals for Nathaniel Richmond at Netflix, including work email, phone, and LinkedIn data when available.
What schools did Nathaniel Richmond attend?
Nathaniel Richmond holds Doctor Of Philosophy (Ph.D.), Applied Mathematical And Computational Sciences from University Of Iowa.
What skills is Nathaniel Richmond known for?
Nathaniel Richmond is listed with skills including Research, Teaching, Optimization, Mathematical Modeling, Matlab, Data Analysis, University Teaching, and Latex.
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