Senior Data Scientist
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.
Apply Now
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.
Apply Now