Senior Applied Data Scientist 17862

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