Deutsche Telekom IT Solutions Slovakia is hiring a
Data Scientist

Summary

Join a fast-growing Telekom IT Data Science/ML community and become part of a dynamic team utilizing innovative technologies on global projects.

Requirements

• Have Master's degree & minimum 3 years of working experience in a relevant field, such as Computer Science, Data Science, Machine Learning, or a related discipline
• Have experience with cloud platforms, such as AWS, Azure, or Google Cloud
• Have proficiency in Python and deep learning libraries like TensorFlow, PyTorch, or OpenCV
• Have solid knowledge of SQL for data extraction and manipulation
• Have experience with basic DevOps tasks (building CI/CD pipelines for docker image building, deploying containers to AWS)
• Have advanced experience with version control systems
• Have strong problem-solving skills, with the ability to formulate data-driven solutions for complex business problems

Responsibilities

• Utilize NLP techniques to analyze and process textual data, extract insights, and develop models for various NLP applications
• Apply Computer Vision algorithms to analyze and interpret visual data, develop image recognition models, and provide solutions for image-based tasks and applications
• Utilize Time Series Forecasting methodologies to analyze historical data patterns, develop predictive models, and generate accurate forecasts for future trends and patterns
• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions that address specific challenges and opportunities
• Communicate findings and insights to stakeholders through data visualizations, reports, and presentations, and provide recommendations for strategic decision-making in the relevant fields
• Continuously evaluate and improve data collection and analysis processes, ensuring data quality, accuracy, and integrity throughout the data lifecycle
• Stay updated with the latest trends and advancements in NLP, Computer Vision, and Time Series Forecasting, and recommend innovative approaches, tools, and techniques for data analysis and modeling in these domains
• Work with the data engineering team to design and implement data pipelines and infrastructure that support data analysis and modeling initiatives
• Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and professional development within the team

Benefits

• Work-life balance is in our DNA, whether you wish to work on our premises or remotely, it is entirely up to you
• Professional development opportunities beyond measure
• Financial benefits
• Benefits with focus on learning and development
• Benefits with focus on health and sport
• Benefits with focus on family and work – life balance
• Other benefits