Data Scientist | Customer Insight & Analytics
PolestarSweden3 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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The Opportunity
We’re looking for a Data Scientist to join our Customer Insight & Analytics team, someone who’s excited by the power of data, thrives in a fast-paced environment, and wants to help shape the future of customer experience at Polestar. If you’re passionate about uncovering insights, leveraging AI, and making a real difference, this is your opportunity to do just that.
At Polestar, we set high standards, not only in design, innovation, and sustainability, but in everything we do. As a Data Scientist in our Customer Insight & Analytics team, your work will directly shape what we aim to be a best-in-class customer experience. From uncovering deep behavioral insights to driving smarter, more personalized interactions, you’ll be at the heart of transforming how customers experience Polestar.
Great work is never done alone. In the Customer Insights & Analytics Team, you’ll join a team of like-minded individuals who share a passion for excellence and a drive to push boundaries. We challenge and support each other to grow, share knowledge openly, give constructive feedback, and celebrate achievements together. It’s a culture built on trust, curiosity, and continuous improvement, where every voice matters and the bar is raised a little higher every day.
This role offers exceptional flexibility through a hybrid work model. You’ll have the freedom to work remotely while staying closely connected through regular collaboration at our Gothenburg office. We believe the best ideas come from a balance of deep, focused individual work and dynamic, in-person teamwork.
The Role
In this role, you’ll be expected to apply advanced analytics, machine learning, and statistical modeling techniques to extract valuable insights, optimize customer engagement, and drive business impact.
We always aim to innovate and work with the latest technologies, whether it’s applying Generative AI to personalize customer experiences, experimenting with state-of-the-art ML frameworks, or leveraging modern data platforms to accelerate insight generation. Innovation is at the heart of what we do, and you’ll be part of a team that embraces emerging technologies and bold ideas.
Your work will span a variety of impactful areas, including:
To thrive in this role, you’re not just analytical, you’re curious, collaborative, and driven by impact. You enjoy solving complex problems, experimenting with new technologies, and translating data into meaningful action. You’re comfortable navigating ambiguity, and you know how to balance technical depth with business relevance.
You’ll Fit Right In If You
We’re looking for a Data Scientist to join our Customer Insight & Analytics team, someone who’s excited by the power of data, thrives in a fast-paced environment, and wants to help shape the future of customer experience at Polestar. If you’re passionate about uncovering insights, leveraging AI, and making a real difference, this is your opportunity to do just that.
At Polestar, we set high standards, not only in design, innovation, and sustainability, but in everything we do. As a Data Scientist in our Customer Insight & Analytics team, your work will directly shape what we aim to be a best-in-class customer experience. From uncovering deep behavioral insights to driving smarter, more personalized interactions, you’ll be at the heart of transforming how customers experience Polestar.
Great work is never done alone. In the Customer Insights & Analytics Team, you’ll join a team of like-minded individuals who share a passion for excellence and a drive to push boundaries. We challenge and support each other to grow, share knowledge openly, give constructive feedback, and celebrate achievements together. It’s a culture built on trust, curiosity, and continuous improvement, where every voice matters and the bar is raised a little higher every day.
This role offers exceptional flexibility through a hybrid work model. You’ll have the freedom to work remotely while staying closely connected through regular collaboration at our Gothenburg office. We believe the best ideas come from a balance of deep, focused individual work and dynamic, in-person teamwork.
The Role
In this role, you’ll be expected to apply advanced analytics, machine learning, and statistical modeling techniques to extract valuable insights, optimize customer engagement, and drive business impact.
We always aim to innovate and work with the latest technologies, whether it’s applying Generative AI to personalize customer experiences, experimenting with state-of-the-art ML frameworks, or leveraging modern data platforms to accelerate insight generation. Innovation is at the heart of what we do, and you’ll be part of a team that embraces emerging technologies and bold ideas.
Your work will span a variety of impactful areas, including:
- Analyzing large and complex datasets to identify trends, patterns, and opportunities for improvement.
- Building predictive models and machine learning algorithms that support smarter, data-driven decision-making.
- Exploring and applying Generative AI techniques to enhance personalization, automation, and customer engagement.
- Creating intuitive and compelling data visualizations that help stakeholders understand and act on insights.
- Translating complex findings into actionable recommendations, tailored for both technical and non-technical audiences.
To thrive in this role, you’re not just analytical, you’re curious, collaborative, and driven by impact. You enjoy solving complex problems, experimenting with new technologies, and translating data into meaningful action. You’re comfortable navigating ambiguity, and you know how to balance technical depth with business relevance.
You’ll Fit Right In If You
- Have 3+ years of experience in data science, or a related field.
- Have a solid grasp of statistical modeling, optimization, and experiment design to guide data-driven decisions.
- Are highly proficient in Python (or R), and skilled in SQL.
- Have hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Are excited by the possibilities of Generative AI, and eager to explore its applications in customer experience and personalization.
- Are familiar with modern data tooling and platforms (e.g., Databricks), and have experience with cloud environments like AWS, Azure, or GCP.
Key Skills
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