Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

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