Informacje o stanowisku

technologies-expected :

• Python
• R
• SQL
• Hadoop
• Spark
• Agile
• TenserFlow

• 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

• 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
•  

• 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

• 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

Warszawa - Oferty pracy w okolicznych lokalizacjach