Data Scientist

Global Talent

Get an international experience in a corporate environment.

These are the locally spoken languages that you’ll have to know.

Computer sciences, Statistics, Mathematics

These are the backgrounds this opportunity is associated with.

This would be your gross salary for this job opportunity.

You’ll be working at

About Greyfood GmbH

With over 25 years of experience in the food industry and a dynamic structure built over the last 6 years, Greyfood has become a leading player in the supply chain. Our expert team combines production, marketing, and sales know-how with modern technology to quickly meet customer needs. Focused on enhancing our clients’ profitability, we continuously expand our product portfolio and specialize in introducing brand products that are not yet available in Germany’s ethnic markets.

Role

Responsibilities

Responsibilities:

• Collect, clean, and analyze structured and unstructured data from various sources to generate actionable insights
• Develop predictive models, machine learning algorithms, and statistical analyses to support business decisions
• Collaborate with cross-functional teams (Sales, Marketing, Operations, Finance) to identify data-driven opportunities and improve business processes
• Design and implement dashboards and reports to monitor KPIs and performance metrics
• Communicate findings and recommendations to stakeholders in a clear and concise way, both technical and non-technical
• Ensure data quality, consistency, and security in collaboration with IT and data engineering teams
• Stay up to date with the latest developments in data science, machine learning, and AI technologies

Qualifications you should bring:

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Strong knowledge of Python or R for data analysis and machine learning
• Proficiency in SQL and experience working with relational databases
• Experience with data visualization tools (Tableau, Power BI, or similar)
• Solid understanding of statistical modeling, machine learning algorithms, and predictive analytics
• Familiarity with big data technologies (Hadoop, Spark, or cloud platforms such as AWS, Azure, GCP) is a plus
• Strong problem-solving skills, with the ability to translate business needs into analytical solutions
• Excellent communication skills and ability to work effectively in cross-functional teams
• Detail-oriented, self-motivated, and able to manage multiple projects simultaneously

Working hours

Monday to Friday

Process

The steps involved in being selected for this opportunity. Canada

Application process usually takes 31 days

STEP 1

CV Selection

STEP 2

Company Review of Profiles

STEP 3

Interviewing Process (incl. 2 separate interviews)

STEP 4

Final Decision

Logistics

What you’ll be provided with during your stay

Benefits of becoming a Global Talent

Apply your skills and knowledge in a practical environment.

International Exposure - Experience working in new cultures and industries.

Our programs can help you live the leadership values: (Activating Leadership, Acting Sustainably, Striving for Excellence, Living Diversity, Enjoying Participation and Demonstrating Integrity)

Receive AIESEC Support for Selection (assistance with your application to opportunities and selection process).

Depending on the opportunity, you will receive either a salary to cover your costs or be provided with accommodation for the duration of your experience abroad.

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