Data Scientist
2 weeks ago
Job Description and key activities :
- Collaborate with cross-functional teams to identify and understand key finance use cases that can benefit from data analysis (from proof-of-concept to implementation support)
- Develop and implement predictive models and machine learning algorithms to support management and financial decision-making
- Identifying optimization potential in internal business processes and deriving recommendations for action, as well as use and business cases
- Evaluation of new technologies, tools, and integration of innovative approaches
- Build end-to-end analytical solutions supported by data engineers and provide strategic recommendations based on data analysis to optimize financial operations, risk management, and investment strategies
- Work closely with data engineers to ensure the availability and quality of relevant data and other colleagues from various Teams (finance, controlling, IT and BI) within the international Jungheinrich organization
- Communicate the results of your work to various stakeholders
Professional requirements :
- University/Masters'/Bachelors' Degree in engineering, computer science, statistics, econometrics, or a related field
- 3-5+ years of experience as Data Scientist in consulting firms or corporates
- Fluency in Python and its data science, AI, visualization libraries (e.g. Panda) and SQL
- Experience working with big data analytics solutions, like Azure Databricks (e.g. ApacheSpark, PySpark, Delta Lake) or are eager to learn it.
- Experience in using frontend visualization tools, like SAP Analytics Cloud, PowerBI, Databricks
Personal requirements :
- Excellent communication skills
- Self-starter, Analytical problem solver, team worker
- Strong analytical competencies, highly structured way of thinking, curiosity and pioneering spirit to explore new correlations
- Ability to translate business requirements into use cases and analytical models
- Fluent in English; German valuable
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