Data Scientist (m/f/d)
Data Scientist (m/f/d)
Posted on :
04-07-2025
Employer Active
1 Vacancy
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Job Description
Join our team as a Data Scientist (m/f/d) in Beckum or Dortmund and take on the following responsibilities:
- Develop and implement data and AI-based solutions to support and enhance operational efficiency and profitability.
- Collaborate with business stakeholders to identify opportunities for leveraging data and AI to generate insights and solutions.
- Design and implement data pipelines architectures and governance frameworks to ensure data integrity and accessibility.
- Build train and maintain machine learning and deep learning models to support various business objectives.
- Analyze data and provide actionable insights and recommendations to business stakeholders to inform decision-making.
- Work closely with cross functional teams to collaborate on projects share insights and ensure that data analytics and AI efforts are integrated with overall business strategies.
Qualifications :
- Bachelors or Masters degree in Data Science Computer Science Statistics or a related field.
- Proven experience in developing and implementing data and AI-based solutions preferably in a business context.
- Proficiency in programming languages such as Python R and SQL. Experience with machine learning frameworks (e.g. TensorFlow PyTorch) and data visualization tools (e.g. Power BI).
- Familiarity with data infrastructure and database systems such as SQL databases (e.g. MS SQL Server) and big data platforms (e.g. Spark Snowflake Microsoft Synapse Analytics).
- Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights.
- Excellent communication and collaboration skills with the ability to work effectively with business stakeholders and cross-functional teams.
- Understanding of data governance principles and best practices.
- Strong attention to details and a commitment to data quality and accuracy.
- You communicate effectively in both German and English.
Additional Information :
We look forward to receiving your application! Please include your salary expectations (gross annual salary) and your notice period or your earliest possible starting date.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Key Skills
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