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  • Data Scientist - Automation & Innovation Department
    New
    Python

    Data Scientist - Automation & Innovation Department

    Warszawa
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Hybrid
    T-Mobile Polska S.A.

    T-Mobile Polska S.A.

    Jesteśmy firmą technologiczną i tworzymy innowacyjne rozwiązania. Udostępniamy na rynku 5G, oferujemy najlepsze usługi mobilne, a dzięki wielu Data Center zapewniamy liczne usługi ICT. Oferujemy usługi z zakresu rozwiązań cloud oraz cybersecurity.

    Company profile

    Tech stack

      Python

      advanced

      SQL

      advanced

      Machine Learning

      regular

      Big Data tools

      regular

      Data Robot

      nice to have

      Amazon AWS

      nice to have

      GCP

      nice to have

    Job description

    Online interview

    Location: Warszawa, ul. Marynarska 12

    Type of contract: Direct B2B

    Type of cooperation: Hybrid (min. 2 days a week in the office)

    Recruitment Online!


    We are looking for a Data Scientist with a proven experience and a passion for turning complex telecommunications data into actionable insights.

    This role combines deep analytical skills with hands-on technical execution and requires experience in deploying scalable machine learning solutions in real-world environments.


    What tasks await you?

    • 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


    What skills will be appreciated?

    • Minimum 4 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.
    • 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).
    Undisclosed Salary

    B2B

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