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Ledig tjänst

Arbetsförmedlingen

SverigePublicerad: Uppdateras löpandeJobb-ID: 31075302

Läs jobbet på Marketplace

Den här rollen kommer från Arbetsförmedlingen. Vi visar den här först på Marketplace så att kandidaten kan läsa vidare, jämföra liknande roller och fortsätta till ansökan när det passar.

Rollöversikt

Matchad från extern källa med fokus på ledig tjänst i Sverige. Nästa steg är att öppna ansökan hos Arbetsförmedlingeneller fortsätta jämföra liknande jobb direkt här på Marketplace.

Villkor och krav
Anställningsform: Tidsbegränsad anställningArbetstid: HeltidOmfattning: 100-100%Lön: Lön enligt överenskommelseSista ansökan: 23 juni 2026
Full rollbeskrivning

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