(Senior) Data Scientist, Merchant Analytics

Wolt; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading delivery platform in Berlin is seeking a Data Scientist to dive into data, solve business problems, and influence decision-making. The role requires a degree in a related field and 4-5+ years in analytics. This position offers flexibility in location, working from one of our tech hubs or remotely within certain countries. Join us to create real impact with your analytical skills.

Qualifikationen

• Degree in Mathematics, Statistics, Computer Science, or a related field, or equivalent work experience.
• 4-5+ years of experience in an analytics or data science position within an industry or research setting.
• Expertise in statistical analysis, including hypothesis testing, experimentation, and causal inference using statistical software packages in Python, R, or equivalent.
• Proficiency in writing structured and efficient SQL queries for large data sets.
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar.
• Relentless pursuit of new ideas and data sources, with ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.

Aufgaben

• Dive into data to solve crucial business problems.
• Diagnose problem areas and identify solutions.
• Design experiments to influence decision-making.

Jobbeschreibung

Berlin, Germany; Helsinki, Finland; Stockholm, Sweden

About Wolt

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.

About Merchant Group at Wolt

Wolt as a platform focuses on serving three main groups: customers, couriers, and merchants. In a nutshell, the Merchant Group strives to make Wolt an integral part of our Merchant’s daily business. Their core mission is to provide merchants with self-service tools and automation that are useful, efficient, reliable, and delightful to use.

About the Merchant Analytics Team

Merchant Analytics is an embedded analytics function within the Merchant Group. The team works to unlock insights related to the marketplace and turn them into actionable recommendations that drive the success of merchants at Wolt. While keeping merchants at heart, the analytics team focuses on all kinds of analytics projects that can benefit merchants while ensuring a seamless consumer experience and also supporting Wolt’s marketplace strategy.

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.

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 real-time 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.
• 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 don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Our humble expectations

• Degree in Mathematics, Statistics, Computer Science, or a related field, or equivalent work experience.
• 4-5+ years of experience in an analytics or data science position within an industry or research setting.
• Expertise in statistical analysis, including hypothesis testing, experimentation, and causal inference using statistical software packages in Python, R, or equivalent.
• Proficiency in writing structured and efficient SQL queries for large data sets.
• Have prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar.
• Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.

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!

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva ([e-mail])

Please note that we might have delays due to the peak holiday season.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Apply for this job

We evaluate candidates solely on their qualifications, skills, and how they align with our business needs. We encourage applications from people of all disability statuses, gender identities, sexual orientations, personal expressions, racial and ethnic backgrounds, religious beliefs, and any other identities or experiences. To ensure a fair and inclusive hiring process, please focus on your experience and skills in your CV — no need to include your photo, age, or marital status. We’re committed to providing a delightful candidate experience. If you require any accommodations during the hiring process, please let us know.

We’re committed to providing a delightful candidate experience. If you require any accommodations during the hiring process, please let us know below.

How many years have you worked in a data science or analytics position within an industry setting? *

Do you have experience with causal inference (Diff in Diff, Synthetic control, etc.)? *

Do you have experience with designing and running A/B tests? *

Wolt - Self-Identification Survey

This section has been removed from the refined description to improve clarity and focus on the role and requirements.