Senior Data Scientist

Summary

Join Roadie, a UPS company, as a Senior Data Scientist and leverage your expertise in machine learning and advanced statistics to develop insights and build automated solutions. Reporting to the CTO, you will work with vast datasets, collaborate cross-functionally, and build MVPs of potential solutions. You will utilize LLMs and prompt engineering, evaluate AI models, and code in Python. This role demands strong communication skills and a data-driven approach. Roadie offers a competitive compensation package, including comprehensive health insurance, 401k matching, tuition assistance, flexible work schedule, unlimited PTO, and more.

Requirements

• Hold an MS or PhD in Machine Learning, Artificial Intelligence, Mathematics/Statistics, Computer Science or a related field
• Possess 5+ years of experience as a Data Scientist or related
• Demonstrate a bias to action and strong work ethic with a collaborative and communicative mindset
• Have extensive hands-on experience with Python, Pandas, Numpy, Scikit-Learn, SciPy, PyTorch, Tensorflow, Keras and related
• Have experience with AI/LLM technologies and related
• Have experience with machine learning algorithms (unsupervised and supervised) and statistical methods
• Have experience with NLP techniques and vector databases
• Have experience with evaluating model performance (ROC, F1, etc)
• Have an understanding of modern deep learning techniques such as CNN, RNN, LLMs
• Possess excellent written and verbal communication skills
• Be authorized to work for any employer in the U.S

Responsibilities

• Perform full lifecycle data science from EDA to insight development and presentation to building MVPs of potential solutions
• Work with LLMs and prompt engineering to facilitate chatbot and chain of reasoning interactions within our Driver and Shipper platforms
• Evaluate efficacy of different AI models and upgrade as technology improves without a loss of function
• Code in Python and machine learning technologies to include supervised and unsupervised learning techniques in environments like Jupyter or custom APIs
• Develop 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

Preferred Qualifications

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

Benefits

• Competitive compensation packages
• 100% covered health insurance premiums for yourself
• 401k with company match
• Tuition and student loan repayment assistance
• Flexible work schedule with unlimited PTO
• Monthly 3-day weekends
• Monthly WFH stipend
• Paid sabbatical leave
• The technology you need to get the job done