Operations Data Science Manager

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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 customers. 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 have led teams previously that have supported multiple groups across an organization. You are comfortable working and directing multiple stakeholders and a diverse set of business processes. You are an experienced player-coach and have developed talent through pair programming and mentorship in the past. You have worked through ambiguity and defined future state processes with data science functionally integrated into business units.


What the role is


We need to enable our top retail partners and future top retail partners with a suite of tools that enable them to maximize our mutual profitability. When you spin one side of the Drizly flywheel the others need attention; so the whole ecosystem operates optimally. This role exists to build the alcohol retailer of the future; optimized both ecommerce and in-store sales with intelligent staffing and inventory management to name a few opportunities. Simply put, to achieve our OKRs as an organization, we must maximize the potential of our best retail partners; their success will be our success and legacy!

In this role you will:

  • Building and executing a data science product portfolio that supports our operations team
  • Supporting and enabling team members to execute on prioritized opportunities 
  • Being a thought leader and technical expert on time series and optimization modeling techniques 
  • Being a change agent within the operations teams for best-in-class business processes functionally integrated with analytics
  • Experience owning and managing forecasting, optimization problems built using machine learning and linear / mix-integer programming
  • Experience using OR (Operations Research) Tools and Solvers (PuLP, Gurobi, CPLEX, or related tools)

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

You do you.


Drizly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status



BEFORE YOU APPLY...


We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices.

 

Identifying information includes your name, photos, LinkedIn URL, email address and more.

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Location

334 Boylston Street, Boston, MA 02116

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