Roadie, a UPS company, is a leading logistics and delivery platform that helps businesses tackle the complexities of modern retail with unmatched delivery coverage, flexibility and visibility. Reaching 97% of U.S. households across more than 30,000 zip codes — from urban hubs to rural communities — Roadie provides seamless, scalable solutions that meet a variety of delivery needs.
With a network of more than 310,000 independent drivers nationwide, Roadie offers flexible delivery solutions that make complex logistics challenges easy, including solutions for local same-day delivery, delivery of big and bulky items, ship-from-store and DC-to-door.
As a Senior Data Scientist at Roadie reporting directly to the CTO, you will use vast amounts of data generated by our core system and third-parties to develop advanced insights and build automated solutions by using machine learning and advanced statistics. This is a highly collaborative role requiring cross-functional communication and collaboration.
What You’ll Do
- Full lifecycle data science from EDA to insight development and presentation to building MVPs of potential solutions
- 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
- Coding in Python and machine learning technologies to include supervised and unsupervised learning techniques in environments like Jupyter or custom APIs
- Developing cogent presentations approachable to non-technical audiences
- Work collaboratively with Engineers, Product Managers, Customer Operations Partners, Marketing, and Data Analysts throughout the organization
- Advocate for data driven decision making throughout the company
What You Bring
- MS or PhD in Machine Learning, Artificial Intelligence, Mathematics/Statistics, Computer Science or a related field
- 5+ 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, Pandas, Numpy, Scikit-Learn, SciPy, PyTorch, Tensorflow, Keras and related
- Experience with AI/LLM technologies and related
- 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
This role is not eligible for visa sponsorship. Applicants must be authorized to work for any employer in the U.S.
Top Skills
What We Do
Roadie is the nation’s first “on the way” crowdsourced delivery platform. Roadie works with consumers, small businesses and big global brands across virtually every industry to provide a faster, cheaper, more scalable solution for scheduled, same-day and urgent delivery. With more than 200,000 active drivers nationwide, Roadie reaches more than 11,000 cities and 20,000 zip codes – the largest local same-day delivery footprint in the nation.