Senior Data Scientist (Analytics), Marketing
Stockholm, Finland
Wolt
When people try Wolt, they love it! The joy of food, groceries and more from local stores and restaurants, delivered in 30 minutes. Try the most-loved delivery app now.Company Description
Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt is not just a delivery app – we’re a technology company building a commerce platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250+ cities. Our apps (iOS and Android) have the industry’s highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In June 2022 we officially joined forces with DoorDash. Combined, we have a presence in 27 countries, 23 of which operate with the Wolt brand and app. Wolt and DoorDash continue largely independently, with Wolt’s name, brand, product, technology and team.
Working in Product Development at Wolt
At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.
The behind the scenes of Wolt is run by an awesome bunch of over 400+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 40 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.
Our Commitment to Diversity, Equity & Inclusion
We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.
Join us today to build Wolt together!
#LI-ZF1
Job Description
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 Wolt’s 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 Wolt’s 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 will…
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
Qualifications
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
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 you’ll 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)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Causal inference Consulting Data Analytics Engineering Finance Looker Predictive modeling Python R SQL Statistics Tableau Testing
Perks/benefits: Career development Equity / stock options
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