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Data Scientist, Support Analytics

Data & Analytics

Berlin, Germany · Stockholm, Sweden · Helsinki, Finland · Tallinn, Estonia

正社員

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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 the Support Group

As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has earned Wolt top-notch ratings in app stores.

During the years, we’ve invested a lot in the in-house built support tooling as we believe that it’s the only way we can ensure the satisfaction of all of our customers and partners in each of the countries that we operate in. We take huge pride in our customer operations’ quality, so on top of building delightful support experiences in our consumer app, we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong.

About the Support Analytics Team

Our Support Analytics team’s main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 

You’ll be part of this team, working with top Data Science and Analytics Engineering professionals.

What you’ll be doing

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.

Your job will mainly focus on identifying opportunities to optimize an in-house tool developed for support operations to resolve customer queries by identifying support ops needs, building supporting KPI & dashboards, conducting root cause analysis for product improvements, exploring cost optimization opportunities, and uncovering data-driven insights to refine product roadmap & automation capabilities.

You're excited about this opportunity because you can…

  • Passionately leverage your analytical skill sets to tell the story about business performance and align executives around what matters and why.
  • Collaborate with senior stakeholders across Finance, Product, Analytics, and Support Operations, including country and regional heads of support and the overall head of Customer Service, to influence our operating model and how we structure our queues to provide the best support for our customers
  • Maintain and improve efficiency metrics. You will track customer journey through the support, time to resolve queries  and other key performance indicators and advise on what we can do to improve
  • Create metrics and build data pipelines, transforming data into valuable information to be used in critical decision-making. 
  • Use advanced analytics & statistical analysis to accelerate decision-making and build heuristics to quantify the impact of those decisions. 
  • Work backward from understanding and sizing problems to ideating solutions.

Our humble expectations

  • Degree in Mathematics, Statistics, Computer Science, or a related field.
  • 3+ years of experience in a data science or analytics 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.
  • Exceptional communication skills, with the ability to influence and advise senior stakeholders through telling exciting and valuable stories from any data exploration.
  • 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.
  • Comfortable with building data pipelines using Airflow or similar tools. 
  • Previous experience in event tracking and product analytics.

What we offer

  • 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 work onsite at our offices in Berlin, Helsinki, Stockholm, or Tallinn. Alternatively, you can work remotely anywhere in Germany, Finland, Sweden, or 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.

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 the Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)

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.

Team

From insights to impact

Our data scientists partner closely with our business stakeholders and work on solving problems together. This means direct impact on our business.

The goal of our data team is to help us with truth-seeking and partner with Wolt’s teams on a deeper level, going beyond just providing data points or dashboards when requested. This way we can work together to find out if solutions our teams created really worked, why they worked and how they worked.

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How we work

We build beautiful products, the Wolt way

We like to do things well and move fast. Doing that requires less red tape and more trust. 

At Wolt, every product team has the resources, talent, and autonomy they need to deliver the task at hand. This way our teams stay close to their customers. They work how they see best, and in return, they’re responsible for seeking alignment and owning the outcome.

Square - working together, office 10
Tech blog

What we’re working on

On this journey towards delivery of (almost) everything, we’re building a suite of products — from the systems powering our own Wolt Market stores, to our support tooling, and even fintech solutions.

Get a sneak peek into what we’re working on through our Wolt Tech blog, Wolt Tech Talks podcast, and more!

Square: product: whiteboarding exercise
Our culture

Our culture

At Wolt, 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. All of which comes from working with passionate, caring, down-to-earth and super-smart people.

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Our people

“I’d say it’s a very exciting time to join Wolt. We’ve just tripled the size of our team over the past year. Joining at this point means that you get to truly grow together with the team and the business. Our growth brings with it many opportunities for our people.”

- Kshira, Head of International Analytics & Data Science

Kshira Saagar - image, square

今すぐ応募

基本情報

Wolt Recruitment Privacy Statement *

Please review the Wolt Recruitment Privacy Statement and acknowledge.

Do you require any accommodations during the hiring process? *

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 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? *
Are you currently based in Germany, Finland, Sweden, or Estonia? *

追加情報

Wolt - Self-Identification Survey

To ensure that our hiring practices are fair and inclusive, we’re asking the following voluntary questions of the people who apply to work at Wolt. If you don't feel comfortable answering any question, you can select “I don't want to answer.”

Your responses to these demographic questions are secure and optional. Any voluntary data you provide will not be shared with anyone connected to your recruitment or hiring process. There will be no negative consequences if you don’t want to participate, if you only answer some questions, or if you select “I don’t want to answer” for any question. Any option you choose will in no way affect your opportunity to work at Wolt.

By answering questions below, you give us your consent to process and handle your answers anonymously, and help Wolt understand the diversity of the people it attracts to apply. For additional clarity, our privacy policy below explains how we collect and process your data in accordance with applicable data protection laws.

添付ファイル *

職務経歴書と履歴書(英語を必要とするポジションに応募する際は英文のResume)をPDF書式にてご提出をお願いいたします。

More about Wolt

At Wolt, we create technology that brings joy, simplicity, and earnings to the neighborhoods of the world. 

In 2015 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.

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