Staff Data Scientist New Verticals
Staff Data Scientist New Verticals
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Job Description
About the New Verticals Group
The New Verticals Group is all about expanding Wolt beyond Restaurants and helping deliver anything our Customers want with unprecedented convenience and worldleading customer experience. We want to make Wolt the best place to order what you need be it groceries convenience pharmacy electronics home pet stores clothing or other goods. Our vision is to make Wolt the worlds best shopping mall in your pocket.
We work closely together with crossfunctional teams to ensure that we have solid organic and inorganic growth plans that we execute those perfectly in our country operations and disseminate best practices across the organization to reduce the growth pains of rapid scaling (it always hurts when you grow >2x per year!)
About the Marketing & Affordability Analytics Team
Our Marketing & Affordability Analytics team uncovers insights on growth opportunities and consumer experience. We partner with Product Engineering and Business teams to guide measurement and tactical decisionmaking using advanced analytics as we expand the Wolt platform across the globe.
Youll collaborate with top Data Science and Analytics Engineering professionals who take ownership of the business outcomes. As were looking to grow to the next level of maturity youll play a key role in establishing analytical expertise in various business domains.
About the Role
Were looking for an awesome Staff Data Scientist in Helsinki Berlin or Stockholm. You will be the partner for the New Verticals business and act as the gogetter analytics expert of your domain. Youll have an opportunity to make a domainwide impact by partnering with senior leaders closely and driving the action from the frontlines.
The scope of the role ranges from helping crossfunctional teams use various data points to size the potential opportunities identifying and measuring levers to help move essential metrics leveraging your technical and analytical skills to tell stories about business performance and make recommendations and aligning executives around what matters and why.
Our offering to you
The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in realtime combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics.
You can choose the location from our tech hubs Helsinki Berlin and Stockholm or you can work entirely remotely anywhere in Finland Germany Sweden and Estonia. You have the chance to decide the ways of working a hybrid at the office or remote within the location above. Read more about our remote setup.
You would get to work in a company culture where we take ownership beyond the obvious do common things uncommonly well we think big but stay humble do right by people we treat others kindly and justly recognize that if we dont learn we wont stay still but fall behind and keep in mind that Luke was Yodas greatest achievement. Read more about how we work.
Qualifications :
Degree in Mathematics Statistics Computer Science or a related field.
6 years of experience in a Data Analytics or Data Science position
Expertise with SQL and statistical analysis using Python R or equivalent.
Strong knowhow on experimentation techniques (A/B testing causal inference) and hypothesis testing.
Ability to build intuitive data visualizations and dashboards that influence critical business decisions on senior leadership level utilizing tools like Looker Tableau Mixpanel or similar.
Clear and concise communication with strong crossfunctional partnership experience.
Relentless pursuit of new ideas and data sources and have the ability to systematically tackle ambiguous problems with a datadriven hypothesisbased approach independently.
Ability to work and communicate effectively in English.
Additional Information :
The position will be filled as soon as we find the right person so make sure to apply as soon as you realize you really really want to join us!
The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well as youll own a piece of the pie.
For any further questions about the position you can turn to Product Talent Acquisition Partner Zhanna Filintseva ()
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
