Optimal Dynamics introduces next-generation artificial intelligence to enable logistics companies to better plan, optimize and automate strategic, tactical and real-time operational decisions.

Based on nearly 40 years of extensive research & development at Princeton University in conjunction with decades of real-world application, CORE.ai reimagines how private fleets, dedicated capacity and for-hire carriers think about planning and operating their truckload assets, drivers and brokerage arms where applicable. Our platform enables users to ask hyper-detailed strategic "what if" questions via a simulation-based environment. We then leverage those outputs to maximize network profitability, increase asset revenue/utilization, reduce unnecessary cost and mitigate risk, all while keeping drivers moving in the most efficient manner.

Optimization is nothing new, but it’s extremely difficult to get right. Through the use of High-Dimensional AI, CORE.ai has been proven to achieve outsized impacts for our customers.

We are a team of bright, kind, and solution-oriented people focused on creating value for our customers. We can solve problems individually, but understand that the best solutions are found when the team brainstorms ideas together. We are excited about balancing the need to deploy new solutions quickly and designing solutions that are secured, reliable, maintainable and scalable for the long run.

As a Data Analyst, you will be primarily responsible for supporting deployment by calibrating our AI solution to model customer networks. We are a team of bright, kind, and solution-oriented people focused on delivering value to our customers. We are laser-focused on time to value and customer delight.

Who You Are

• You are a quick learner and excited about learning new technologies
• You are detail-oriented and adept at drawing real-world conclusions from data sets
• You are adept at communicating and collaborating effectively with others
• You are comfortable talking to stakeholders and understanding their business needs
• You have the ability to work on multiple projects at the same time

Responsibilities

• Support customer-facing Deployment and Solutions Engineers by tuning and calibrating customer instances based on their business requirements
• Clean, manipulate, and assess customer data to ensure integrity and accuracy
• Aid in the successful execution of deployments and Proof of Concept analysis and follow on requests
• Improve analysis processes to create robust and reliable results
• Communicate data findings to leadership teams in a professional and timely manner

Qualifications

• BS in Data Analytics, Data Science, Business Intelligence, Computer Science, Industrial Engineering or related degree
• Experience with Unix command line navigation and shell scripting
• Experience quickly manipulating data in Microsoft Excel, and interpreting the real-world implications
• Programming experience in Python for data analysis (pandas, numpy, scipy, scikit-learn, etc)
• Demonstrated ability to troubleshoot issues and find resolutions
• Ability to prioritize work and manage multiple projects and demands simultaneously
• Ability to work in a fast-paced, agile environment

Nice To Have

• Experience with relational databases and SQL
• Understanding of file structures (XML, EDI, flat file, etc.)
• Experience in the logistics industry or with Transportation Management Systems

Where

• New York, NY or Remote