Data Scientist

Role: Data Scientist

Location: Malmo, SE

Type: Contract

Job Description:

• Preparing, analyzing, and validating product, pricing, sales, and market data.
• Developing product similarity and competitiveness metrics.
• Applying data science and econometric methods, including price elasticity, demand analysis, price sensitivity, and forecasting.
• Assessing the impact of price changes on sales, revenue, and margins.
• Supporting proactive price monitoring by identifying relevant market and competitor price changes.
• Developing indicators, anomaly detection methods, and alerts to highlight potential risks and opportunities.
• Translating analytical findings into actionable business insights.
• Collaborating with business, data, and technology stakeholders.
• Supporting testing, automation, documentation, and knowledge transfer.
• Contributing to the implementation and onboarding of new markets by validating local data, configuring analytical outputs, and resolving implementation issues.

Key responsibilities will include

• Developing, testing, and validating analytical models and methodologies.
• Monitoring data quality, model performance, and analytical outputs.
• Investigating significant price and market changes and identifying potential drivers.
• Applying statistical, econometric, and machine learning techniques to generate insights.
• Supporting proactive monitoring through anomaly detection, indicators, and alerts.
• Validating data and analytical outputs when onboarding new markets.
• Troubleshooting data and implementation issues.
• Collaborating with data, technology, and business teams to deliver analytical solutions.
• Participating in stakeholder meetings and presenting findings clearly to technical and non-technical audiences.
• Gathering feedback and incorporating it into analytical solutions.
• Supporting testing, automation, documentation, and knowledge transfer.

Requirements

Desired Knowledge, Experience, Competencies, and Skills

• Strong knowledge of data science, statistics, and econometrics, including price elasticity, demand modelling, price sensitivity, and forecasting.
• Experience analysing pricing, sales, product, customer, and market data.
• Strong proficiency in Python and SQL, including data preparation, modelling, validation, and automation.
• Knowledge of machine learning and product or market similarity methods.
• Understanding of data quality management, monitoring, experimentation, and model performance evaluation.
• Experience with data visualisation and communicating analytical results through dashboards, reports, and presentations.
• Familiarity with proactive price monitoring, anomaly detection, alerts, and identifying market or competitor price changes.
• Ability to collaborate effectively with stakeholders across business, technology, and data teams.
• Experience supporting market/country onboarding, including local data validation and analytical configuration.
• Strong problem-solving, communication, and stakeholder management skills.