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- Senior Data Scientist – Veritaz
Senior Data Scientist – Veritaz
Veritaz ABOkänd ort
Previous experience is desired
18 days left
to apply for the 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 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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