Vacant job

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.