Who we are
Drizly is the world's largest alcohol marketplace & the best way to shop beer, wine & spirits. Our
customers trust us to be part of their lives - their celebrations, parties, dinners & quiet nights at
home. We are there when it matters - committed to life's moments & the people who create them.
We partner with the best retail stores in over 1300 cities across North America to serve up the best
buying experience. Drizly offers a huge selection & competitive pricing with a side of personalized
content. That is what we do. Who we are is a different story.
We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly.
We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just
the truth but the process to get to the truth, to deliberate, decide & then act. Most importantly, we
care. We care about our customer. We care about our company. We care about our team. There will be
long days & incredible challenges.
We are blazing a trail in an industry that hasn't changed in nearly a century, & that doesn't scare us
(well, not all the time) -and even when it does, it doesn't stop us, it energizes us.
Who you are
You are a leader with the vision to build an incredible data science team & culture, & the ability to
propel ongoing business value for Drizly with data science solutions. You are deeply familiar with the
rapidly changing data science ecosystem, adamant about what a best-in-class tech stack looks like, &
capable of sourcing, evaluating, & implementing modern data infrastructure. You have an innate
curiosity around analytics that is contagious within your team & throughout your company.
You have seen how businesses can thrive with a strong data science team. You can source, evaluate,
execute, & communicate the state of a DS project, & you know how to prioritize work accordingly.
You are technical enough to know how difficult a 10%, 1%, or 0.1% improvement to a model may be,
and have the business acumen to translate that context back to Drizly's underlying goals & strategy.
You have a bias towards action, quick iterations, & simplicity; & the perspective to know which
From a leadership perspective - you manage growth vs. execution, communicate well across the
technical spectrum, & know when to advocate for software engineering standards vs. when to move
quickly. You know how hard it is to take something that works in a Jupyter Notebook & deploy it live
on site. Most importantly, you lead & grow the careers of data scientists, & know how to build
teams & processes that scale.
You have a proven track record of success, & 2+ years of experience managing data science
contributors & platforms. We'd be really impressed if you have implemented event streaming solutions or built platforms to develop & deploy data science services. We'd also be impressed if you
have experience with multi-sided marketplaces or hyperlocal business models.
What the role is
We are looking for someone to build & lead the future of data science at Drizly. They will be
responsible for managing & accelerating the careers of the current team, while also recruiting &
hiring candidates that raise the standard. This role will be responsible for resource allocation within
the data science org, & will prioritize projects & hiring needs in collaboration with senior
The Director of Data Science will own the development of a best-in-class modern data science
platform, & be responsible for sourcing, evaluating, & implementing data science tools &
processes across Drizly's tech stack. This platform will be built in collaboration with DevOps &
product engineering to support the future of data science projects & services at Drizly.
The Director of Data Science is a critical member of the Analytics organization, & will work closely
with Data Engineering & BI. They will certainly be responsible for supporting individual DS models
and solutions, but also for the larger vision of how a data science architecture, codebase, & best
practices should grow with Drizly over time.
Most importantly - the Director of Data Science will execute on a long & aspirational roadmap of
topics to make Drizly a thoroughly data-oriented company. This role will own efforts on
personalization for Drizly consumers, batching & routing for Drizly retailers, & forecasting &
inventory optimization for alcohol manufacturers. Internally, this could mean propensity & LTV
modeling for marketing, or unlocking efficiency for Drizly's own operations. This person must not
just be capable of building data science products, but also capable of developing a data-centric