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DATA
SCIENTIST

We are seeking a Data Scientist to join our team and contribute to the development of predictive models and analytical solutions. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning, and will use these skills to provide insights that influence our strategic decisions.

LOCATION

Odense

EMPLOYMENT TYPE

Permanent

What You’ll Do

  • Collaborate with stakeholders to identify opportunities for leveraging company data to drive business solutions.

  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.

  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.

  • Develop custom data models and algorithms to apply to data sets.

  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.

  • Develop company A/B testing framework and test model quality.

  • Coordinate with different functional teams to implement models and monitor outcomes.

  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications

  • Master’s or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.

  • Strong problem-solving skills with an emphasis on product development.

  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.

  • Experience working with and creating data architectures.

  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Experience with advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

  • Excellent written and verbal communication skills for coordinating across teams.

  • A drive to learn and master new technologies and techniques.

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