Business Informatics & Data Science
Technical Mathematics
Students with IT affinity
Data Scientist (m/f/d)
Teamwork
Teamwork
autonomous work
teamwork
Personal competences
Personal competences
operative
strategic
Travel Activity
Travel Activity
no travel
only travel
Skills
Strong knowledge of applied statistics, probability theory and quantitative analysis methods
Experience in developing, validating and interpreting predictive and analytical models
Experience in statistical modelling, e.g. regression or time series analysis
Proficiency in Python or R as well as databases and SQL
Knowledge of data cleaning, data wrangling and exploratory data analysis
Visualisation and clear communication of analysis results
Responsibilities
Perform exploratory analysis of datasets, identify patterns and relationships, and assess data quality
Develop, validate and continuously improve statistical and predictive models for technical and business questions
Select and evaluate modelling approaches based on accuracy, robustness and business relevance
Evaluate new statistical methods and analytical approaches for specific business applications
Present analytical findings through dashboards, reports and presentations and derive actionable recommendations
Collaborate closely with business departments to develop data-driven solutions
Pro & Contra
Varied work at the intersection of mathematics, statistics and data analytics
High demand across industries such as manufacturing, finance, healthcare and IT
Opportunity to drive data-based decisions and innovation
Models need to be regularly reviewed and adapted to new data
High demands on mathematical methods, programming and data quality
Interfaces
Data Analytics & Business Intelligence
Machine Learning & Software Development
Business departments (e.g. Production, Marketing, Finance or Sales)
Special Abilities
Enthusiasm for data-driven challenges and mathematical problem solving
Curiosity to discover patterns and relationships in datasets
Persistence in developing and improving analytical models
Ability of communicating analytical insights in a clear and understandable way
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