Data Scientist - Automation & Innovation Department

Extract and analyze network and business data to identify trends, detect anomalies, and recommend improvements in service performance and customer experience.
Apply advanced analytical techniques and develop predictive models and algorithms that support telecom operations across the value chain.
Develop, test, and deploy data models into production, supporting automation and performance monitoring.
Collaborate with cross-functional teams including engineering, product, and operations to define analytical goals and deliver impactful results.
Maintain and enhance the model development environment including pipelines and orchestration frameworks.
Visualize and explain the outcomes of the work in a way that is understandable for diverse audiences

Minimum 3 years of proven industry experience in data science or applied machine learning.
Strong programming skills in Python.
Expert knowledge of supervised and unsupervised machine learning methods.
Hands-on experience with ML libraries and frameworks such as Scikit-Learn, TensorFlow, PyTorch.
Proficient with big data tools (e.g., Spark, Hadoop) and orchestration tools.
Solid foundation in data analytics, data visualization, data mining, statistics, and probability theory.
Experience with SQL and relational databases.
Familiar with agile methodologies and software development practices (Git, JIRA, Confluence).
Experience working in cloud environments (Data Robot, AWS and GCP are a plus).
Understanding of big data ecosystems and ETL processes.
Nice to have - previous experience working with telecom datasets (e.g., network KPIs, customer behavior).
Strong problem-solving skills and a proactive, detail-oriented mindset.
Excellent communication skills with the ability to present findings to diverse audiences.
Fluent in English (written and spoken).

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