Data Engineer

Senior Applied Data Scientist – 17924

Stockholm, Sweden
Onsite

Huy Tran

HR Administrator

cv@veritaz.se

Job Summary

  • Posted Date

    May 28, 2026

  • Work Type

    Onsite

  • Deadline

    2026-06-01

  • Schedule

    Full-time

  • 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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