We are looking for a Staff Data Scientist to join Wolt’s mission in Finland, Sweden, or Germany!

About the role

The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants.

To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally.

What you'll be doing

As a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You’ll achieve this by:

• Developing and deploying production-level ML models
• Crafting metrics to unlock deeper insights into merchant selection quality for all markets
• Conducting experiments to understand the impact of selection on specific markets
• Work on self-serve tooling to track these insights.

This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards.

Our humble expectations

• 5+ years of experience in data science, consulting, or a related quantitative role
• Fluent in Python & SQL
• Strong exploratory data analysis skills, willingness to look under the hood
• Exposure to experimental design (A/B testing) and key statistical methods
• Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
• Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte)
• Determination to initiate and lead/own strategic projects to completion with a cross-functional team
• Innate curiosity to understand how things work and a first-principles approach to problem solving

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 Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. 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)

About Consumer Analytics at Wolt 

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

About the Consumer Data Science Team

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

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 that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes. 

If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you.

Our humble expectations

• 3+ years of experience in an analytics or data science position
• Experience working with product funnels and user journeys
• Proficiency in SQL and Python
• Hands-on experience in designing and analysing A/B testing
• Experience in using AI in your work to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

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 interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• 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 Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

About the Consumer Pricing and Discounts Domain

The Consumer Pricing and Discounts Data Science team is committed to consumer-first pricing and discounts that are fair, transparent, and compliant. We create innovative pricing & discounts solutions that offer clear value for our consumers with a focus on affordability. We collaborate cross-functionally to achieve both short-term and long-term business goals, balancing topline impact with bottom-line profitability tradeoff. Our team of Data Scientists partners closely with the Strategy & Operations business team as well as Product & Engineering, conducting experiments, advanced analytical data exploration, algorithmic modelling and operational reporting to enhance our consumer pricing & incentives strategies.

What you’ll be doing

As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. This role is a great fit for a versatile generalist who can bridge pricing and growth initiatives, connecting the dots across functions to drive business impact. It suits someone who thrives in a cross-functional environment, brings strong business judgment, and can balance priorities within a dynamic team. The position plays a key role in shaping strategy while keeping execution aligned with broader objectives.

The scope spans the full lifecycle - from research and discovery to modelling and experimentation. Responsibilities include defining success through clear measurement frameworks, identifying business opportunities, and tracking performance via reporting. It’s an opportunity to turn insights into action and influence outcomes.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar
• Strong business acumen and ability to connect analytical work (models, research, frameworks) to real business impact

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 interesting company to practice analytics!
• You can choose the location from our tech hubs in Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Finland or Sweden. 💙
• 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 Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

The Courier Analytics Team at Wolt focuses on solving complex delivery-related logistical and operational challenges, and our objective is to improve Wolt’s logistics efficiency while delivering an exceptional delivery experience for all parties in our 3-sided marketplace.

Data Scientists at Wolt work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organisation. On the Courier team, we are particularly focused on optimising routing and task assignment efficiency,  predicting delivery times with higher accuracy, and aiming for a flawless delivery experience for both our couriers and customers to boost retention. 

We achieve this by ensuring Courier Group’s product development is rooted in experimentation with the primary goal of delivering impactful results rather than sole features.  By analytical deep-dives, impact estimation, and delving deep into observational data to expose hidden trends and untapped opportunities, our Data Scientists serve as objective advisors, helping to decipher the 'why' behind the data, thereby enabling smarter decisions that align with our overall business strategy. 

What you’ll be doing

• Take Ownership: Drive the Logistics analytics topics within Courier Analytics, becoming the go-to expert in this critical area.
• Drive Experiment-Guided Product Development: Serve as the catalyst for analytical deep-dives and controlled experiments that illuminate Wolt's complex marketplace dynamics and causal chains.
• Champion Statistical Rigour and a Data-Driven Mindset: Serve as an internal advocate for the crucial role of statistical rigour in data analysis. Your advocacy will foster a culture where data isn't just used, but used wisely, reinforcing the integrity of our decision-making processes.
• Collaborate Across Teams: Work closely with cross-functional teams, including Product, Design, Engineering, and Operations, to integrate data-driven decision-making into their workflows.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R, and AI IDE tools
• Hands-on experience in designing and analysing A/B testing, coupled with knowledge of quasi-experimental methodologies
• A strong grasp of core concepts and models for causal inference, enabling you to expose complex cause-and-effect relationships within data
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

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 interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• 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 Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

As an Analytics Engineer in the Analytics Foundation team, you help the whole company use data with confidence. You sit in a small team with real ownership: we shape how analytics engineering is done here, not only what gets built. You will make architectural decisions for data modelling and set the bar for quality, maintainability, and how we work. This is not a role where you only implement models from a backlog of “orders”; you partner with the business and with technical teams, surface trade-offs when needed, and help prioritise work that compounds.

We spend most of our time on larger initiatives that improve the platform and how people use data, rather than reacting to a constant stream of ad-hoc questions. The team has a high degree of autonomy over its agenda, little firefighting, and we have invested for years in automating repetitive work so we can focus on impact. You will work hands-on with modern data tooling and with AI-assisted workflows, including coding agents and agent-style automation where they genuinely speed up design, review, and deliver, while staying responsible for correctness, governance, and clarity for stakeholders.

You will develop and maintain core models, quality practices, and governance; support the warehouse and pipelines; and help teams get the most from BI and GTM tooling. Tools in our stack include Snowflake, dbt core, Hex, Prefect, Fivetran, and Hightouch (among others).

Key responsibilities:

• Design, own, and evolve core data models and the modelling architecture; including how they connect to pipelines, freshness, and operational reliability in the warehouse.
• Empower the organization to use and interpret data.
• Partner with business and technical stakeholders from problem framing to shipped artefacts: clarify requirements, suggest better approaches when a request would not scale, and drive or co-drive cross-team initiatives that improve how data is used.
• Collaborate closely with other data professionals; this includes giving actionable feedback in code reviews as well as actively supporting with data modeling 
• Combine subject matter expertise and a high level business understanding to contribute to the direction and strategy for Mentimeter in the realm of data modeling, AI-Analysis, BI-tooling and data activation in GTM-Tooling.
• Develop, own and maintain data modeling standards and the data development experience
• Improve how we work at scale: thoughtful automation and AI-assisted engineering (e.g. coding agents and repeatable workflows) with human accountability for correctness and compliance.
• Maintain and grow how knowledge is surfaced, e.g in semantic models, a data catalog, or documentation

We believe you have:

• Roughly 4-7 years of relevant hands-on experience as an Analytics Engineer, Data Analyst, Data Scientist, BI Analyst, or similar (or equivalent depth if your path is non-linear).
• Strong SQL and sound judgment in data modelling (grain, reusability, naming, and how metrics should behave).
• Experience partnering across departments, including leading or co-leading cross-functional work that shipped something others use.
• Strong business acumen with an understanding of sales, marketing, and product analytics.
• Ability to map ambiguous stakeholder needs to clear, maintainable models and artefacts.
• Experience with BI-tools and development of BI features 
• Knowledge of software collaboration using git.
• Communication in English with both technical and non-technical audiences; interest in helping others grow their data skills.
• Experience working with GDPR-sensitive data and collaborating with legal experts on compliance assessments.

It is beneficial if you have:

• Hands-on experience with dbt (or similar)
• Experience with a semantic or metrics layer
• Experience using AI-assisted coding or coding agents in a disciplined way (reviews, tests, documentation), with clear judgment about automation vs verification for production data work.
• Professional experience working in an agile environment

Not required:

• Swedish is not required (daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities).
• A cover letter is not required as part of your application

📍 Location: This is an onsite/hybrid role at Mentimeter HQ in Stockholm.
Please note that we do not offer visa relocation sponsorship for the position.  

💡Our recruitment process:

1. Introduction interview
2. Competence interview, including a live case.
3. Culture interview
4. References & Offer

Are you passionate about leveraging data science to drive business impact and take analytics to the next level? Join Mentimeter as our Senior Data Scientist, where you will set new standards for data science craft within the Data & Analytics (DNA) department and play a pivotal role in advancing our analytics capabilities to drive impactful, data-informed strategies for our SaaS-based business. Data is not only central, but crucial, to how Mentimeter will reach success.

At Mentimeter, the DNA department is on a mission to catalyse our company strategy and drive innovation, growth and impact throughout our company and user journey by using data. We work at the intersection of analytics, data science, and business to deliver actionable insights and solutions that enable better decisions across departments, including Product, Marketing, Sales, and Revenue Operations. Your contributions will directly influence key business outcomes such as customer retention, engagement, and expansion.

In this role, you’ll collaborate with and be supported by cross-functional teams of data scientists, data engineers, user researchers, product managers and company leaders who are passionate about Mentimeter’s mission and using data to achieve it.

What you’ll do

• Design and deploy machine learning models, such as predictive scoring, clustering, and forecasting, with a strong focus on technical aspects of production deployment.
• Build and ship internal data products that activate models and insights in the right systems and tools to drive impact.
• Be a key part of our Analytics team to align priorities, partner with stakeholders and ensure solutions are relevant and impactful.
• Collaborate closely with our Data Platform Team, Analytics Engineering, and other sister teams to enable the business to proactively act on data and create business impact.
• Elevate the data science craft within the Data & Analytics department by setting new standards, implementing innovative approaches and best practices.
• Provide mentorship and technical guidance to team members, fostering a culture of continuous learning and growth.
• Translate complex data analyses into compelling narratives and visualizations that resonate with diverse audiences.

We believe you have

• A minimum of 8 years of relevant work experience.
• Proven expertise in data science methodologies, with strong proficiency in machine learning techniques and programming languages (e.g. Python and SQL).
• Strong business acumen with a deep understanding of sales, marketing, and product analytics.
• Expertise in ML modeling with a focus on production deployment and ML engineering best practices (e.g. versioning, monitoring, testing).
• A builder mindset and interest to build internal products and systems that scale, leveraging automation, generative AI, and data to drive Mentimeter’s growth and efficiency.
• Solid software engineering practices, including git, code reviews, and writing performant, maintainable code.
• Experience collaborating with data engineers on data pipelines, model deployment, and monitoring.
• Demonstrated ability to deliver high-quality analyses and actionable insights aligned with business objectives.
• Exceptional communication skills, with the ability to convey complex concepts through clear narratives and visualizations.
• A track record of mentoring team members and fostering a culture of best practices and continuous improvement.

Nice to have

• Familiarity with modern data tools (e.g. Looker, Hex, Snowflake) and cloud platforms (e.g. AWS, Google Cloud).
• Experience working within a SaaS environment, with a strong understanding of the unique business challenges and opportunities it presents.

Not required

• Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities)