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. 

Remote Job

Job Overview
Job Posted:
1 day ago
Job Expires:
Job Type
Full Time

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