What you'll do:
- 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.
- Design projects to streamline and optimize feature engineering, model tuning, validation, and observability in production.
- 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.
Skills you have:
- A Bachelor's, Master's degree, PhD in statistics, computer science, data science, economics, mathematics, operations research, or another quantitative field.
- If Bachelor's, Master's degree, then 5+ years. If PhD, then 2+ years of combined experience in machine learning, statistics, data modelling, programming, or applied research in related fields.
- Strong knowledge of SQL and relational databases, statistical analysis and modelling tools in Python, and 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, and fine-tuning pretrained open source models for specific use cases.
- 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.
Who you are:
- 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.
- Able to communicate at any level the logic and rationale behind our work to leadership, key stakeholders, and technical partners.
- Appreciate the value of delivering incremental value versus having the perfect solution from the outset. Know how to make the most of the data science tools and packages, while not being afraid to step out and take a novel approach.
- Interested in modelling and engineering as much as exploring and crafting a story with data to convey the problem and how our work impacts it.
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What We Do
Howdy! The best things are found only in Texas, and Favor Delivery is proudly unavailable in 49 states. As a Texas born-and-bred company, and part of H-E-B, we love delivering food as much as Texans love eating it. From an extra-hot latte that meets you at the office to queso delivered (almost) right to your couch, we’re here when Texans are hungry and restaurants want to feed them. Experience how Texas orders in today!
Why Work With Us
Everything we do at Favor is rooted in our core values, including how we think about culture. We highly value transparency, respect, communication, and continuously pushing ourselves to learn, develop, and keep innovating. More than anything though, our culture is focused on our team members and building community.
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