Senior Applied Data Scientist 17862
Veritaz ABPublicerad: 2026-05-24
Ansök senast: 2026-06-23
Beskrivning
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
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
