Senior Applied Data Scientist 17924

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