Data Science Manager Marketing Analytics at Drizly

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 1650 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 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 and marketing decision making. 

You have a second nature level of comfort with SQL, Python, Git, and local / cloud based development environments (e.g. JupyterLabs, Databricks or equivalent). You have comprehensive experience in developing and implementing machine learning models in production systems. You have utilized time-boxed experimentation to optimize data science products to improve business value. You are driven towards DS innovation, have an affinity to be forward-thinking, and have crafted DS products not only for the immediate needs but aligned to where your business is heading in the near future, tied to company goals. You approach problems without pretense, and when presented with a challenge, pick the right tool for the job; introducing new methods when vital but also recognizing when a classical or off-the-shelf solution will suffice.

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 - Data Science Products are instrumental to our Marketing and Strategic Partnerships roadmaps. We need to invest in the analytic firepower and bandwidth to support Marketers at Drizly, and more generally, the Drizly customer. The role will be responsible for leading our Marketing and Strategic Partnerships Data Science team, prioritizing, and executing on the top opportunities identified in the Marketing and SP DS roadmap and collaborating with our broader Marketing, Analytics, and DS organizations. Data science opportunities and frameworks that are implemented by this team will touch all aspects of the Drizly New Customer Acquisition Flywheel; from becoming more than just a ecommerce/delivery platform to for our customers - to driving technology innovation for Marketing and Strategic Partnerships, to partnering with our engineering and data science partners, increasing our usage of recommendation and classification systems, crafting predictive models to facilitate budgetary, attribution, and optimization decisions.


In this role you will: 

Building and executing  a data science product portfolio that supports our Marketing and Strategic Partnerships teams
 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 Marketing and Strategic Partnerships  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 with statistical methods such as Synthetic Control Method or Design of Experiments
Experience using MMM, MTA, Regression and Timeseries Forecasting to determine the value driven by different marketing efforts



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


For Colorado-based roles: The salary/hourly rate range for this role is $137,141 per year - $161,342 per year. You will be eligible to participate in Drizly's bonus program, and may be offered an equity award, commissions, & other types of comp. You will also be eligible for various benefits. More details about our company benefits can be found at the following link: https://drizly.com/careers.


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. Additionally, you must reside in the United States to be considered for this position.
 
Identifying information includes your name, photos, LinkedIn URL, email address and more.