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Senior Applied Data Scientist 17862

Veritaz AB
full_timeVerifiedPosted 24 May 2026

About the role

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 a Senior Data Scientist What You Will Work On Develop analytical models and decision-support capabilities for EV asset management Build forecasting, simulation, and predictive analytics solutions Support pricing, residual value, and lifecycle optimization initiatives Develop portfolio analytics and risk assessment models Design scalable data products and operational analytical services Translate business requirements into models, tools, and recommendations Build dashboards, APIs, and decision-support applications Productionize analytical models and improve operational reliability Collaborate with data engineering to improve data quality and availability Support business and technical stakeholders with data-driven insights Evaluate assumptions and provide structured analytical recommendations Drive practical implementation and adoption of analytical solutions What You Bring Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Economics, or related field Strong Python skills for modeling, analysis, testing, and production-quality implementation Strong SQL skills and experience working with analytical data platforms Proven experience developing models or analytical tools that support business decision-making Ability to own delivery from business problem → analysis → model → implementation → adoption Experience deploying or operating cloud-based data products, APIs, scheduled jobs, or model services Ability to work with imperfect datasets and make balanced decisions regarding assumptions and data quality Practical engineering mindset with focus on usable and scalable outcomes Strong communication skills across technical and business audiences Ability to create structure and drive delivery in evolving environments Experience translating analysis into maintainable and operational solutions

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Company

Veritaz AB

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