T Hub - Data Scientist
technologies-expected :
- Python
- R
- SQL
- Hadoop
- Spark
- Agile
- TenserFlow
responsibilities :
- Develop, validate, and maintain advanced machine learning and statistical models.
- Analyze large, complex datasets to extract insights and decide on the appropriate techniques for the task.
- Collaborate with cross-functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Be responsible for E2E strategically aligned data science projects from requirements gathering and consulting to go-live
requirements-expected :
- Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Scientist or similar role in the telecommunications industry.
- Strong knowledge of machine learning models, data mining, and unstructured data analytics.
- Experience using statistical computer languages (R, Python, SQL, etc. ) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
- Excellent written and verbal communication skills.
- Experience with big data tools, including Hadoop and Spark.
- Familiarity with deep learning frameworks such as PyTorch/TensorFlow.
- Agile mindset
- Experience in intercultural collaboration
offered :
- Employment contract
- Additional day off on the occasion of birthdays/namedays
- Medical package and life insurance
- Benefit platform - you choose what you benefit from
- Access to training platforms to improve your knowledge
- I know Talent - training or money for referring friends to work !
- Besides, with us you can count on access to our products and services at preferential terms and benefits, which you will read about below
benefits :
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- life insurance
- flexible working time
- corporate products and services at discounted prices
- integration events
- mobile phone available for private use
- no dress code
- parking space for employees
- extra social benefits
- sharing the costs of tickets to the movies, theater
- holiday funds
- birthday celebration
- sharing the costs of a streaming platform subscription
- employee referral program
- charity initiatives
- extra leave
- Benefit Platform
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