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 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.
