Favor is looking for a Senior Data Scientist to support its mission of providing fast, fresh delivery to Texans. The technology platform needs optimization for real-time assignment of Runners, communication facilitation, and synchronization of mobile applications.
Requirements
- Strong knowledge of SQL and relational databases
- Statistical analysis and modelling tools in Python
- Python-based web frameworks such as Flask or FastAPI
- Excellent understanding of machine learning techniques, including regression, SVM, decision trees, and time series models
- Familiarity with DNN modelling in Tensorflow or Pytorch
- Familiarity with fine-tuning pretrained open source models for specific use cases
- 5+ years of combined experience in machine learning, statistics, data modelling, programming, or applied research in related fields (if Bachelor's/Master's degree)
Responsibilities
- Implement and optimize models for the specific use case
- Deploy modern, clean code that directly impacts our business
- Work closely with our product, engineering, and operations teams to understand customer needs
- Build simple solutions to complex problems
- Deliver delightful experiences to all our users
- Responsible for the full lifecycle of machine learning projects from working with stakeholders, problem definition, feature exploration, building production-grade solutions, and ongoing monitoring and maintenance
- Design projects to streamline and optimize feature engineering, model tuning, validation, and observability in production
Other
- Collaborate cross-functionally with product, engineering and their stakeholders to understand the problem space and priorities.
- Develop a deep understanding of our applications, data platform, and business to perform independent research and analysis to understand ongoing initiatives or identify new opportunities which can lead to ad hoc reports, new business metrics, features for modelling, or proof of concept.
- Create applications to serve predictions in real-time, run a/b tests across model iterations, and continuously own all aspects of the modelling and backend services from standing up new infrastructure to debugging production issues.
- Excellent communication and experience working with technical and non-technical stakeholders and leadership, with the ability to discuss complex topics with audiences of varying technical knowledge.
- Ability to work across the spectrum of our business, coordinating work across multiple stakeholders and teams, with the desire to understand in-depth nuances of our business and how data science can make the most significant impact.
