Data Engineer
Senior Applied Data Scientist – 17924
Stockholm, Sweden
Onsite
Job Summary
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Posted Date
May 28, 2026
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Work Type
Onsite
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Deadline
2026-06-01
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Schedule
Full-time
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Location
Stockholm, Sweden
Job Description
Assignment Description
We are currently looking for an experienced Senior Data Scientist
What You Will Work On
- Develop and maintain predictive models for usage, residual value, lifecycle forecasting, and portfolio risk
- Build analytics solutions supporting electric vehicle asset management and pricing strategies
- Translate operational and business datasets into actionable recommendations and insights
- Define, validate, and document model assumptions, uncertainty, and analytical limitations
- Develop simulations, dashboards, APIs, prototypes, and decision-support applications
- Collaborate with data engineering teams to ensure reliable data pipelines and data quality
- Productionize analytical models using APIs, scheduled jobs, cloud services, testing, monitoring, and versioning
- Support finance, sales, product, customer, and partner discussions through data-driven analysis
- Structure and drive work forward in unclear or evolving analytical problem spaces
- Balance model quality, implementation speed, scalability, and business usability
- Contribute to maintainable, trustworthy, and production-ready analytical services
- Communicate complex analytical concepts clearly to both technical and non-technical stakeholders
What You Bring
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Economics, or related field
- Strong Python expertise for analytics, modeling, testing, and production-quality development
- Strong SQL skills and experience working with analytical data platforms
- Experience building analytical models and tools supporting business-critical decisions
- Ability to own work from business problem definition through implementation and stakeholder adoption
- Experience deploying or operating cloud-based analytical products, APIs, or model services
- Ability to work effectively with incomplete or imperfect data while making sound analytical judgments
- Strong engineering mindset with the ability to transform analysis into practical tools and services
- Strong communication skills across technical and business-oriented stakeholders
- Ability to independently structure and drive analytical initiatives
- Pragmatic and analytical mindset with strong self-leadership capabilities
- Comfortable working in small teams with broad responsibilities
If this sounds interesting please send your CV at cv@veritaz.se
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