James Rolfsen
Director of Data Science at Rappi | Austin, Texas Metropolitan Area
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James Rolfsen is currently making significant strides as an Algorithms Architect at a cutting-edge Stealth Startup, where he is engineering billion-dollar algorithms that drive innovation and efficiency across various sectors. With a robust background in people analytics and demand forecasting, James leverages his expertise to develop sophisticated models that not only predict market trends but also enhance organizational development. His work is pivotal in shaping the startup's strategic direction, as he integrates advanced techniques like Monte Carlo simulation and time series analysis to optimize product innovation and credit risk management.
In his current role, James is spearheading key projects that focus on harnessing data to create actionable insights, enabling the startup to make informed decisions in a rapidly evolving landscape. His passion for intelligence analysis allows him to dissect complex datasets, uncovering patterns that inform product strategies and operational efficiencies. James is not just a technical expert; he is also a dynamic public speaker, sharing his knowledge and insights with peers and industry leaders alike, fostering a culture of collaboration and continuous learning.
As he embarks on this exciting journey, James is eager to connect with like-minded professionals who share his enthusiasm for technology and innovation. He believes that by exchanging ideas and experiences, we can collectively push the boundaries of what is possible in the tech industry. Always ready to embrace new challenges, James Rolfsen is committed to coding the future, one algorithm at a time.
Principal AI Consultant at Think.dev in June 2024 to Present
Principal AI Engineer at Dunedain in January 2025 to May 2025
Director of Data Science at Rappi in April 2022 to June 2024
Global Head of Data at Rappi in April 2022 to June 2023
Technical Advisor, Machine Learning at Greycroft in March 2021 to May 2022
Sr. Algorithms Engineer, Machine Learning Lead at Literati in March 2021 to April 2022
Algorithm Engineer, Machine Learning Lead at Greycroft in October 2020 to March 2021
Data Science Consultant at Literati in November 2020 to March 2021
Senior Data Scientist at Red Berry Innovations, Inc. in February 2020 to October 2020
Senior Data Scientist - Machine Learning Lead at Spreetail in December 2018 to February 2020
Founder and Lead Data Scientist at Kojuba in December 2015 to August 2019
Data Scientist II (Contractor) at ProKarma in August 2018 to December 2018
Senior Data Scientist at TS Banking Group in September 2016 to December 2017
Senior Instructor at Omaha Data Science Academy in August 2016 to January 2017
Data Scientist at Contemporary Analysis in January 2015 to January 2017
Research Scholar at Creighton University Institute for Economic Inquiry in January 2015 to June 2015
Data Science Intern at Hudl in September 2014 to January 2015
Computational Modeler at Creighton University in November 2012 to October 2014
Intelligence Analyst at U.S. Army in November 2009 to July 2012
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People Analytics
Quantitative Analysis
Data-driven Decision Making
Startup Development
Team Building
Product Development
Business Analysis
Business Intelligence (BI)
Supply Chain Optimization
Personalization
Customer Retention
Price Optimization
Time-Series Analysis
Genetic Algorithms
E-commerce Analytics
Inventory Management
SKU Management
Python Programming
Application Programming Interfaces (API)
Cybersecurity
Reverse Engineering
Research and Development (R&D)
Government Contracting
Electrical Signal Analysis
Aerospace Data Analysis
Satellite Control Systems
Sensor Fusion Modeling
Algorithm Development
Demand Forecasting
Supply Chain Decision Support
Personalization Algorithms
Project Management
AI Strategy
Product Innovation
Customer Retention Strategies
Lifetime Value Optimization
Venture Capital
Data Enrichment
Investment Strategy
Technology Evaluation
Market Analysis
Team Leadership
Recommender Systems
Search
Search Algorithms
Natural Language Processing (NLP)
Credit Risk Management
Data Engineering
Applied Machine Learning
Statistical Learning
Large Language Models (LLM)
Data Analysis
Python
Economics
Machine Learning
Research
Political Science
Simulations
Data Mining
Intelligence Analysis
Computer Science
Program Management
Statistics
Social Media
Security
Public Policy
Algorithms
Statistical Modeling
Data Visualization
Strategic Planning
Supply Chain Management
Analytics
Microsoft Office
Java
PowerPoint
SQL
R
NoSQL
MongoDB
Leadership
Team Management
Leadership Development
Organizational Development
Quantitative Models
Statistical Programming
Market Intelligence
Social Network Analysis
Monte Carlo Simulation
Predictive Modeling
Cluster Analysis
Deep Learning
Unstructured Data
Predictive Analytics
HR Strategy
Data Science
Data Analytics
Redis
Time Series Analysis
Data Strategy
Public Speaking
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Discover more about RappiWhat is James Rolfsen email address?
Email James Rolfsen at [email protected] and [email protected]. This email is the most updated James Rolfsen email found in 2026.
What is James Rolfsen phone number?
James Rolfsen phone number is +14023201148 and +16104280574.
How to contact James Rolfsen?
To contact James Rolfsen send an email to [email protected] or [email protected]. If you want to call James Rolfsen try calling on +14023201148 and +16104280574. (updated on September 13, 2024)
What company does James Rolfsen work for?
James Rolfsen works for Rappi
What is James Rolfsen's role at Rappi?
James Rolfsen is Director of Data Science
What industry does James Rolfsen work in?
James Rolfsen works in the It Services And It Consulting industry.
James Rolfsen Email Addresses
James Rolfsen Phone Numbers
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