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Urgent! Data Scientist Job Opening In Kraków – Now Hiring CANPACK
Tasks
• Identify high-impact business areas where data science can deliver value.
• Analyze large volumes of structured data to uncover insights and opportunities.
• Apply advanced machine learning techniques including supervised, unsupervised learning, forecasting, and deep learning.
• Collaborate closely with business stakeholders to understand functional challenges and communicate solutions in business-friendly language.
• Work independently and in collaboration with external vendor teams to deliver scalable solutions.
• Contribute to the development of a future internal data science team.
Performance Metrics: Success in this role will be measured by the business value generated through data science initiatives and solutions.
Desired Skills, Knowledge, and Experience:
Bachelor’s or master’s degree in information technology, Computer Science, or a related field.
4-6 years of relevant experience
Programming: Proficiency in Python, PySpark, and SQL.
Platforms & Tools: Experience with Azure (preferred) or other cloud platforms.
ML Techniques: Strong grasp of supervised/unsupervised learning, forecasting, and deep learning.
Familiarity with unstructured data processing
Domain Experience: Preferable experience in one or more of the following domains: Manufacturing, Supply Chain, Finance, Logistics.
Additional Skills :
Basic understanding of data warehousing concepts such as star schema, ETL/ELT processes.
Familiarity with data lake or lakehouse architectures.
Visualization skills including exploratory data analysis (EDA), basic dashboard creation for business reporting, and effective communication of model results and insights.
Experience with either Python-based visualization libraries (e.g., Matplotlib, Seaborn, Plotly) or BI tools (e.g., Power BI, Tableau).
Preferred Qualifications:
Azure Data Science certifications or equivalent certifications in tools like TensorFlow.
Exposure to MLOps practices and tools.
We offer:
Being part of a fast-growing, dynamic company, recognized as one of the foremost global packaging manufacturers.
Great professional growth opportunities.
Annual bonus.
Private medical care & insurance plan for you to keep an eye on your health.
MyBenefit program.
Flexible and hybrid work arrangement: We offer a flexible hybrid work model – 2 days a week in the Krakow office, or fully remote if you're located elsewhere.
Parking space for all employees.
Comfortable working environment (library, relaxation area with a view of the Wawel castle and city center, casual dress code).
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Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in Kraków, Poland (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Scientist in Kraków, Poland using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1512 jobs in Poland and 134 jobs in Kraków. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! CANPACK is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Scientist Jobs Kraków.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at CANPACK adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist Jobs Poland varies, but the pay scale is rated "Standard" in Kraków. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Scientist interview at CANPACK, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the CANPACK's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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