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Data Scientist, Operations

REMOTE - USA / Full Time

May 9

Who we are 

Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters - committed to life’s moments and the people who create them. We partner with the best retail stores in over 1400 cities across North America to serve up the best buying experience. Drizly offers a huge selection and 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 and 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 and incredible challenges.

We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.

Do you see yourself here? Read on.

Who you are

You are tech savvy and have performed the duties of developing and implementing operations data science products that are defined and executed in a collaborative environment. You have balanced partner needs and demands across multiple teams to get results (OKRs) with limited allocated resources for supporting DS product implementations. You have a second nature level of comfort with SQL, Python, Scikit, Git, and local/cloud based development environments (e.g. JupyterLabs, Databricks or equivalent).

You've had a proven track record of applying machine learning, linear and mixed-integer programming to operations opportunities (e.g., forecasting, optimizations, scheduling, etc.). You have worked collaboratively with DS peers and software engineers to integrate products and are comfortable working in a shared codebase; while adhering to engineering standard methodologies (code hygiene, version control, secrets management, etc.). You've worked with operations groups and partnered with teams to conduct DS product roadmapping exercises to jointly identify and prioritize opportunities. You are driven towards innovation with data science, and are a forward thinker, designing DS products not only for the immediate needs but aligned to where the ops teams are heading in the future.

What the role is


This role is open because we have substantial goals for how Drizly engages with its customer base going forward, the average Drizly customer is more valuable than ever, and the value of a 1% improvement to existing processes is larger than it’s ever been. The role will be responsible for developing, prioritizing, and executing on the top opportunities identified in the Operations DS roadmap that spans across the Sales team, Account Management (including onboarding), Retailer Services, People Operations, and Internal Tools. Data science opportunities that are implemented by this person will touch all aspects of the Drizly Flywheel; from becoming more than just a ecommerce/delivery platform to our retailers - to being a brand associated with helping retailers better run their business, to forecasting Out-of-Stock items before a customer has a negative experience not getting that product they needed to improve the life’s moment it was intended to help build, etc. Ultimately, this person will enable our operations teams and retail partners to maximize the potential of the Drizly platform through functionality integrated data science.

Please note: this role can be performed remotely anywhere in the United States with the exception of Colorado.

In this role you will:

  • Develop DS products roadmap across the Operations Team
  • Refine, prioritize, and execute data science opportunities in a collaborative manner
  • Ship iterative data science product versions in an experimental fashion to rapidly adapt and improve the products
  • Collaboratively supervise and report value creation from DS products with the Operations Teams 

The Other Stuff:

  • Competitive salary
  • One-on-one professional coaching with an external expert
  • Health, Dental and Vision Insurance
  • Flexible vacation policy
  • 401(K) Plan with Employer Match
  • Added perks

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