Senior Data Scientist, Favor
3 days a week in office
Food & essential order service
Job no longer available
Food & essential order service
1001+ employees
Job no longer available
3 days a week in office
1001+ employees
Company mission
To create a more connected community to get anything delivered through an affordable and personalized service.
Role
Who you are
- 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
- 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
What the job involves
- We are looking for a Senior Data Scientist to join our growing Data Science team
- This person will be committed to having a deep understanding of our data and its relationship to the business, implementing and optimizing models for the specific use case, and deploying modern, clean code that directly impacts our business
- You will work closely with our product, engineering, and operations teams to understand customer needs, build simple solutions to complex problems, and deliver delightful experiences to all our users
- As a Senior Data Scientist, you are 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
- 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
Our take
More and more people are looking to get things delivered fast, and businesses are trying to find inventive ways to meet the demand and get people’s purchases to them as quickly as possible. Favor solves this problem, with an on-demand delivery service that depends on “runners” to get products to customers quickly.
Customers can browse on the Favor app and select items from their list or input items from other stores in the delivery zone, and Favor runners will collect the item and deliver it within an hour. While many on-demand delivery services struggle to scale, Favor itself has managed to expand its operations across Texas and into Philadelphia.
A handful of the company's early rivals have since gone out of business, but the company is challenged by deep-pocketed businesses like DoorDash and Uber Eats. That said, its progress so far has been good, and Favor continues to innovate - for example with its B2B “Shop & Deliver” platform.
Freddie
Company Specialist at Welcome to the Jungle
Insights
5% employee growth in 12 months
Company
Funding (2 rounds)
Sep 2017
$22m
SERIES B
Mar 2015
$13m
SERIES A
Total funding: $35m
Company benefits
- Premium health, vision, dental, life and 401(k) options
- Complimentary meals, commuter benefits, dependent care, and of course - Favor delivery credit and H-E-B discounts
- Fitness center in the office
- Beer Fridays, quarterly company-wide events, and regular connection opportunities
- HQ in the heart of East Austin with multiple lounge areas, a coffee bar, library, fully stocked kitchen and more
- Unlimited PTO for salary employees and ample vacation time to all team members
- Regular Learning Labs taught by internal team members and external facilitators
Company HQ
Holly, Austin, TX
Leadership
Keith Duncan
(CEO)Began working at the company as SVP of Sales & Business Development and was promoted to CRO within 4 years. They then worked as CRO at Orchard before returning to Favor as CEO in 2023.
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