Shape the Future of Our Data-Driven Strategy within Nordic Tyre Group AB!

We are searching for a seasoned Senior Data Scientist to join our technology team at a pivotal moment. As the largest tyre wholesaler in the Nordics and Baltics, our data is the foundation of strategic decision-making across our multi-country operations. This is your chance to be a driving force in unlocking insights from our vast datasets, building predictive models, and developing data science solutions that will transform our purchasing, inventory, sales, and finance strategies for years to come. This role is a strategic hire fully backed by our executive team and will report into group CIO.

Data Science Strategy & Implementation

• Lead end-to-end data science initiatives from problem definition to production deployment
• Develop, implement and improve advanced analytics solutions for demand forecasting, pricing optimization, cross-sell recommendations, lead prioritization, customer churn, and customer segmentation
• Design and execute A/B testing frameworks to drive data-informed business decisions
• Translate complex analytical findings into actionable business recommendations

Technical Leadership & Collaboration

• Work closely with our data engineer and ERP developers to understand business data architecture and identify opportunities for data science applications
• Implement ML workflow orchestration using tools such as Kedro, MLflow, AWS SageMaker, or Azure ML
• Query and manipulate large datasets using MySQL, dbt, Athena, Iceberg, S3, or equivalent technologies
• Ensure models are scalable, maintainable, and production-ready in cloud environments

Business Impact & Strategy

• Collaborate closely with stakeholders from Procurement, Sales, Finance, and Logistics to identify and execute high-impact data science opportunities
• Apply commercial acumen to prioritize initiatives based on potential business value and feasibility
• Present findings and recommendations to senior leadership and cross-functional teams
• Drive the adoption of data-driven decision making across the organisation

Required Skills & Experience

• Bachelor's degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, Economics)
• 5+ years of data science experience, ideally in retail, wholesale, distribution, or e-commerce environments
• Strong programming skills in Python and SQL, with experience in data science libraries and frameworks
• Proficiency in machine learning algorithms: linear regression, k-means clustering, random forest, gradient boosting, and others
• Experience with large-scale data processing using MySQL, DBT, Athena, Iceberg, S3, or equivalent tools
• Hands-on experience with ML workflow orchestration platforms (Kedro, MLflow, Airflow, AWS SageMaker, Azure ML, or similar)
• Proven track record working within cloud environments, preferably AWS or Azure
• Ability to independently lead data science projects with minimal supervision
• Proficient in English

We believe the best candidates are those who are passionate about continuous learning. If you don't tick every box but are committed to developing your skills and growing with us, please apply - we're invested in supporting your professional development. You will have the opportunity to grow as a domain expert, take on leadership responsibilities, and directly create and see real value from your work across our business.

Nice to Have

• Previous experience in consulting or private equity
• Experience working with ERP systems and understanding enterprise data structures
• Knowledge of tire wholesale, automotive parts distribution, or similar industries
• Familiarity with business intelligence tools and data visualization platforms

Key Attributes

• Commercially minded with strong business acumen to assess project impact and ROI
• Excellent communicator able to translate technical concepts to non-technical stakeholders
• Self-motivated and capable of driving initiatives independently while collaborating effectively across teams
• Passionate about turning data into actionable insights that drive business growth

Department: Business Development & Intelligence.

Role: Senior Data Scientist

Locations: Preferably nearby one of our warehouses: Strängnäs (Swe), Masku (Fi), Gardermoen (No) or Riga (Lv).

Remote status: Hybrid.

Type of employment: Probationary period

Contact: Marcus Segerqvist. marcus.segerqvist@nordictyregroup.com

Applications must be submitted via the link. Selection and interviews will be conducted on an ongoing basis, so please submit your application as soon as possible. All applications will be treated confidentially. Personality tests, work samples, background checks, drug tests and reference checks may be included.

We look forward to receiving your application!