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Senior Data Scientist @ Workday
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DTU - Technical University of Denmark
Bachelor of Engineering (B.E.), Mechanical
January 1, 2013 – January 1, 2017
Workday
Senior Data Scientist
November 1, 2023 – Present
Workday
Data Scientist
May 1, 2022 – November 1, 2023
Radiometer
Senior Data Science Architect
August 1, 2021 – May 1, 2022
Copenhagen, Capital Region of Denmark, Denmark
Novo Nordisk
Data Scientist
September 1, 2019 – August 1, 2021
Copenhagen Metropolitan Area
Annalect Denmark
Data Scientist
September 1, 2018 – September 1, 2019
Copenhagen
Getinge
Machine Learning Engineer
September 1, 2017 – September 1, 2018
Københavnsområdet, Danmark
Getinge
Studentermedhjælper
February 1, 2017 – September 1, 2017
Københavnsområdet, Danmark
Getinge
Praktikant
September 1, 2016 – February 1, 2017
Københavnsområdet, Danmark
Microsoft Certified: Azure Developer Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Fundamentals
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure AI Fundamentals
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Fundamentals
Microsoft
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Data Engineer with Python Track
DataCamp
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in various company sizes and industries (Workday, Radiometer, Novo Nordisk, Annalect, Getinge), indicating adaptability. The progression from Machine Learning Engineer to Data Scientist and Senior Data Scientist roles aligns well with a growth-oriented culture. The breadth of technical skills and certifications suggests a proactive approach to learning and development. However, the target role of 'Data Analyst' might be a step down from their 'Senior Data Scientist' and 'Senior Data Science Architect' roles, which could indicate a potential mismatch in ambition or a strategic career shift not fully explained by the resume alone. The lack of project details makes it difficult to assess collaboration or specific cultural contributions.
Soft Skills & Operational Fit
The candidate's resume highlights experience in project scoping, ML problem formulation, and building automation solutions, suggesting strong problem-solving and operational skills. The progression through roles from Data Scientist to Senior Data Scientist and Senior Data Science Architect indicates leadership potential and ability to take on increasing responsibility. However, without psychometric test results or interview data, specific soft skills like teamwork, stress handling, or communication clarity cannot be fully assessed.