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THE OPPORTUNITY IN A NUTSHELL You? A hands-on and ownership-taker data scientist turning complex data into actionable...

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Selected role

SENIOR DATA SCIENTIST

Vend Marketplaces Stockholm, AB, SE

Senior Full-time

THE OPPORTUNITY IN A NUTSHELL

You? A hands-on and ownership-taker data scientist turning complex data into actionable insights and scalable AI solutions that drive real business impact.

Role? Senior Data Scientist to lead and refine machine learning models, like our widely used vehicle valuation model, while exploring new AI opportunities across the Mobility ecosystem.

Company? Vend, home of Blocket, FINN, DBA, Bilbasen, Oikotie & Tori, where millions of people across the Nordics connect to find what they need, whether it’s a way to move, a job, a home, a way to move, or a fresh start.

Location? Join us in our Stockholm office, with the flexibility to work 50% remotely, your choice, your balance.

Why us? This is your chance to shape the future of smart mobility in the Nordics, working with datasets powering ~90 million monthly visits and nearly 100% of car dealers in our markets. Enjoy autonomy to experiment with AI and ML in production environments, collaborate in a strong, knowledge-sharing data community and drive real-world, measurable business impact at scale.

Sounds like your cup of tea? Check out the details below!

WHO ARE YOU?

Experienced in Machine Learning & AI: You have strong fundamental knowledge of machine learning algorithms and AI, with practical experience in building models and creating scalable solutions.
Hands-on with Big Data & tooling: You have experience working with machine learning frameworks and data processing tools like Scikit-learn, PyTorch, TensorFlow, Spark, Pandas, and SQL.
MLOps & production mindset: You have experience with MLOps, CI/CD, and pipeline orchestration, and understand what it takes to move models from experimentation to production.

Nice to have

Experience with cloud infrastructure, we use GCP products like Vertex AI and BigQuery.
Experience with LLMs and NLP.
Experience with modern GenAI systems like agentic workflows and RAG.
Experience building RESTful APIs.
Knowledge of Kafka, Kubernetes.
Curiosity in how to use software engineering skills to deploy code.

As a person

You have experience introducing and educating people without domain expertise about machine learning, translating complexity into clarity.
You thrive in cross-functional environments, are results-oriented, and enjoy sharing knowledge while learning from others.
You take responsibility from idea to production and always consider what’s best for the company when making technology decisions.

WHAT’S THE JOB LIKE?

As our new Senior Data Scientist in the InsightX area within Mobility, your mission is to leverage AI and machine learning to empower smarter mobility choices across the Nordics. You will collaborate closely with product managers, developers, analysts, commercial stakeholders, and fellow data scientists across the Mobility vertical.

You will:

Leverage AI and machine learning techniques to extract meaningful insights from our extensive dataset.
Research, develop, and deploy machine-learning models in close collaboration with our product teams.
Monitor model performance, generate insights, and continuously improve existing models—including our widely used vehicle valuation model.
Contribute to projects that improve our model development processes, tooling, and infrastructure.
Continuously identify and propose new ways to leverage both internal and third-party data to enhance our machine learning models and solve key business challenges.

What does success look like?

After 6 months:

You have taken ownership of one or more core models and contributed meaningful improvements.
You actively collaborate with product teams and are confident in navigating our data ecosystem.
You’ve identified at least one new AI opportunity with tangible business value.

After 1 year:

You have significantly improved model performance and reliability in production.
You are a trusted AI sparring partner for product and business stakeholders.
You have contributed to strengthening our ML infrastructure and development practices.

A few words from the Engineering Director, Özcan Soysüren

“Hi, I’m Özcan. I’m an easy-to-reach leader: if you’re stuck, curious, or just want to sanity-check an idea, I’m here and I want it to feel safe to ask. I aim to lead with empathy and context. At the same time, I believe in ownership and accountability. I won’t micromanage you; I’ll give you trust, the space to make decisions, and clear expectations on outcomes.

In this role, you won’t be boxed into one product team. You’ll be part of our Data Science “satellite” setup in Mobility: working closely with different product teams across periods, partnering with peers and senior engineering support (like staff/principal-level engineering colleagues) to bring AI-powered solutions into production.

If you want autonomy, real impact, and a place where your work moves from idea to production (and you’ll be supported while doing it) this role is for you.”

Want to get a feel for our culture and what drives us? Take a peek behind the scenes at our Career Page!

GOT YOUR ATTENTION? Let us hear from you!

Turn yourself in by Sunday, 8nd March.

You can choose whether to send your cover letter or go through some questions we prepared to get to know you better :)

We will start with the first rounds of interviews after the application period, to give everyone a fair shot.

QUESTIONS?

Engineering Director, Özcan Soysüren, is happy to answer questions about daily work, expectations and team setup at ozcan.soysuren(at)vend.com.

For any additional questions about the process, I, Alessia Porazzi, Talent Acquisition Partner, am here for you on LinkedIn or email (alessia.porazzi(at)vend.com).

RECRUITMENT PROCESS?

First step with Talent Acquisition Partner, Alessia ( your background, skills & growth goals, Vend as an employer)
Second meeting with Engineering Director, Özcan (diving deeper into your background & skills, role goals & expectations)
Final meeting with the team (case scenario, diving deeper into your team vision and way of thinking)
Reference check and offer!

Great Place to Work

We embrace diversity

Learn smarter, with our AI powered Learning Lab

Work with products that matter in people's lives

1700 fantastic colleagues in 4 Nordic countries

Smart choices made easy on our marketplaces

Innovation, it’s at our core

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