Roadie, a UPS Company, is a logistics management and crowdsourced delivery platform. Founded in 2014, Roadie offers businesses fast, flexible and asset-light logistics solutions for last-mile delivery. Roadie enables local delivery to more than 95% of U.S. households by providing access to more than 200,000 independent drivers nationwide – allowing businesses to offer their customers delivery optionality for almost any industry, from airlines to artisans.

As an Associate Data Scientist at Roadie reporting directly to the CTO, you will work as part of our innovation team primarily focusing on developing production AI systems safely automating some of our most critical functions.  This is a highly collaborative role requiring cross-functional communication and collaboration. 

What You’ll Do

• Working with LLMs and prompt engineering to facilitate chatbot and chain of reasoning interactions within our Driver and Shipper platforms
• Evaluating efficacy of different AI models and upgrading as technology improves without a loss of function
• Working with security teams on red teaming and AI safety concerns
• Coding in Python and machine learning technologies to include supervised and unsupervised learning techniques in environments like Jupyter 
• Developing cogent presentations approachable to non-technical audiences
• Work collaboratively with Engineers, Product, Customer Operations, Marketing, and Data Analysts across the organization

What You Bring

• MS or PhD in Machine Learning, Artificial Intelligence, Mathematics/Statistics, Computer Science or a related field
• 2+ years of experience as a Data Scientist or related
• A bias to action and strong work ethic who seeks direction and runs at problems with collaborative and communicative mindset
• Extensive hands-on experience with Python 
• Experience with machine learning algorithms (unsupervised and supervised) and statistical methods
• Experience with NLP techniques and vector databases
• Experience with evaluating model performance (ROC, F1, etc)
• Understanding of modern deep learning techniques such as CNN, RNN, LLMs
• Excellent written and verbal communication skills

Bonus

• Experience with Langchain, AWS Bedrock, Google Vertex platforms
• Experience with advanced anomaly detection and forecasting techniques
• Experience with libraries such as Pandas, Numpy, Scikit-Learn, SciPy, PyTorch, Tensorflow, Keras and related
• Experience building machine learning pipelines and full loop machine learning systems

Why Roadie? 

• Competitive compensation packages 
• 100% covered health insurance premiums for yourself
• 401k with company match
• Tuition and student loan repayment assistance (that’s right - Roadie will contribute directly to your existing student loans!) 
• Flexible work schedule with unlimited PTO 
• Monthly 3-day weekends
• Monthly WFH stipend 
• Paid sabbatical leave- tenured team members are given time to rest, relax, and explore
• The technology you need to get the job done