Ta oferta pracy jest już nieaktualna.
Zapraszamy do wysłania życiorysu - skontaktujemy się w przypadku wznowienia projektu lub podobnej oferty.
Zapraszamy do wysłania życiorysu - skontaktujemy się w przypadku wznowienia projektu lub podobnej oferty.
The Key Responsibilites:
- Analysis and interpretation of large datasets to identify trends, patterns, and dependencies.
- Creating, testing, and implementing predictive models and machine learning algorithms.
- Collaboration with development, product, and business teams to understand their analytical needs.
- Data processing and cleansing, preparing them for analysis.
- Visualization of analysis results and presenting them in a understandable way for stakeholders.
- Monitoring and maintaining deployed models and optimizing their performance.
- Tracking the latest trends and tools in the field of data analysis and machine learning.
Requirements:
- Minimum 3 years of experience in a Data Scientist or similar position.
- Advanced knowledge of programming languages used in data analysis, such as Python, R, or Scala.
- Experience working with data analysis tools and libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning).
- Ability to work with SQL and NoSQL databases.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
- Understanding of statistical principles and data analysis methods.
- Ability to communicate analysis results in a way that is understandable to non-technical individuals.
- Ability to work independently and solve problems.
We offer:
- Attractive salary commensurate with experience.
- Opportunity to work in a dynamic, innovative environment.
- Access to the latest technologies and tools.
- Professional development program and training.
- Flexible working hours and possibility of remote work.
- Benefits package (medical care, sports card, life insurance).
Good to have:
- Experience working with cloud platforms (Azure, AWS, GCP).
- Knowledge of big data technologies (Hadoop, Spark).
- Certifications in the field of data analysis and machine learning.
- Experience working in an Agile/Scrum environment.
