Senior Data Scientist (Analytics), Marketing

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

The Marketing Analytics Team at Wolt focuses on solving marketing challenges and is tasked with optimising 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. On the Marketing Analytics team we are focused on measuring the effectiveness of our marketing spend and optimising how we acquire and retain users. 

Our team comprises a cross-section of Data Scientists and Analytics Engineers. We work closely with the Data Engineering and Machine Learning teams who help ensure we have the right platform to deliver our insights at scale. We partner with 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…

• Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings

• Provide insights to help business and product leaders understand marketplace dynamics, user behaviours, and long-term trends

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business

• Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools

• Identify and measure levers to help move essential metrics and make recommendations

• Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering

• Help our cross-functional teams use various data points to properly size the potential initiatives and opportunities

• Work backwards from understanding and sizing problems to ideating solutions

• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress

• Act as mentors and guide the team towards actionable outcomes

Qualifications

• At least 5 years of experience in data analytics, consulting, or related quantitative role

• The ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

• The determination to initiate and lead/own strategic projects to completion in a scrappy environment with a cross-functional team

• Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing

• Proficiency in at least one programming language, preferably Python and/or R

• Expertise with SQL queries, Basic ETL, Predictive modelling

• Proficiency in one or more analytics & visualisation tools (e.g. Looker, Tableau)

• Clear and concise communication with strong cross-functional partnership experience

• Drive measurement strategy for the area under scope, defining success metrics, and implementing best practices around experiment design and statistical analysis

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 ([email protected])