Applied Data Scientist designing and implementing AI - driven pipelines for Binance's blockchain products. Collaborating on complex systems to enhance market understanding and trading intelligence.
About the role
- Data Scientist turning data into actionable insights at a digital service studio in Sweden. Collaborating with product teams to build AI-powered solutions and advise on data-driven decision making.
Responsibilities
- Turn data into actionable insights and AI-powered solutions that make a real impact.
- Help translate business challenges into technical solutions, applying analytics and machine learning to create real outcomes.
- Explore datasets to uncover patterns, validate hypotheses, and identify opportunities.
- Design and run experiments, proofs of concept, and prototypes to test ideas.
- Build, evaluate, and deploy machine learning models both locally and in the cloud.
- Integrate and fine-tune existing generative models to power features like smart recommendations, search, personalized content generation or conversational interfaces.
- Aggregate, process, and visualize data to communicate insights that drive decisions.
- Work closely with other engineers, designers, and business-oriented teammates to create data-driven digital products.
- Advise clients on how to leverage data-driven solutions to improve existing products or create new ones.
- Guide solutions from prototype to production, ensuring reliability, scalability, and adherence to MLOps best practices.
- Clearly communicate results, assumptions, and limitations to technical and non-technical audiences alike.
Requirements
- 5+ experience as a Data Scientist or Data Engineer with hands-on experience in building and/or integrating machine learning models.
- A degree in some of the areas: Computer Science, Data Science, Statistics, Engineering, or a related field.
- Proficiency in Python and LangChain as well as modern cloud and data platforms (such as Azure, AWS, Databricks and Microsoft Fabric).
- Familiarity with CI/CD pipelines, versioning, and model monitoring.
- Expertise in feature engineering, model evaluation, data visualization, data cleaning and processing.
- Awareness of responsible AI, governance, and security principles.
- Curiosity, empathy, and a collaborative mindset.
Benefits
- Flexible working arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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