Senior Data Scientist (Analytics), Marketing
Analytics & Data Science
Stockholm, Swedenย ยท Helsinki, Finland
Full-time
About the Team
In the Marketing Analytics team we are focused on improving the effectiveness of our marketing spend and help grow Wolt. We solve a variety of marketing challenges and help optimise Woltโs marketing mix through attribution, MMM and Experimentation, enabling effective measurement of different marketing initiatives and working with the marketing team to identify areas for improvement and growth across all Wolt countries. Considering the scale of Woltโs marketing function, there are many exciting problems to be solved and plenty of opportunities to make a business impact.
Data Scientists at Wolt work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organisation. We partner closely with Marketing, Product, Engineering and Strategy & Operations teams to guide measurement and tactical decision-making using advanced analytics as we expand the Wolt platform across the globe.
About the Role
As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision making. This is a rare, operational and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role.
If you enjoy finding patterns amidst chaos, are excited to build from 0 to 1, and have experience using analytics and data science skills to drive business outcomes, we're looking for someone like you.
You're excited about this opportunity because you willโฆ
Use statistical techniques, hypothesis testing, and experimentation to validate findings and drive business outcomes
Provide insights on marketplace dynamics, user behaviors, and long-term trends to our business
Conduct quantitative analysis and present data to uncover business drivers and insights beyond the numbers
Build analytics experiments, reports, and dashboards; perform ad-hoc data analyses using tools like SQL, R, or Python
Identify and measure levers to enhance metrics; make actionable recommendations
Offer clarity in ambiguous environments and collaborate across multiple teams and collaborate effectively across teams, including Marketing, Strategy & Operations, Product, Finance, and Engineering.
Mentor team members towards achieving actionable outcomes
Our humble expectations
5+ years of experience in data analytics, consulting, or related quantitative field
Skills in SQL queries, predictive modeling, and using visualization tools such as Looker or Tableau; experience with Python or R is a plus
Proficiency in experimentation techniques, including causal inference and A/B testing, with experience in experiment design and statistical analysis, with the ability to define success metrics and implement measurement strategies
A creative and critical mindset, thriving in fast-paced, dynamic environments to resolve ambiguous problems using a structured, hypothesis-driven, and data-supported approach
Strong interpersonal skills, with the ability to work cross-functionally and influence both technical and non-technical audiences and ability to lead strategic projects to completion with cross-functional teams in scrappy environments
Humility and a team-player attitude, going out of your way to help teammates
Familiarity with multi-sided marketplaces and working experience in marketing are a plus
Next steps
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 youโll own a piece of the pie.
For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)