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Data Scientist

Luxoft | дистанционно
Тази позиция позволява отдалечена работа

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Тази обява е публикувана само в DEV.BG Jobs: Преглеждаме значимите български сайтове за обяви за работа (с поне 400 IT обяви за работа). Тази обява не е публикувана в нито един от тях.
22 юли
Обявата е публикувана в следните минибордове
  • Sofia, Bulgaria
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    Project Description

    Our client is a leading global Financial Market data provider who runs several change programs to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in a very engaging environment making the most of cutting-edge technologies covering the domains of Real-Time, Big Data, Cloud, and Machine Learning.

    • We find algorithmic solutions to complex textually based problems, taking into consideration performance, scalability and robustness.
    • We create tools for professionals to build their own NLP solution in areas such as entity extraction, relation extraction and text categorization.
    • We use solutions of different complexity in order to solve our problems efficiently and with high quality, from basic ones to state-of-the-art ones.
    • We have a super positive and constructive atmosphere.
    • We have access to lots of high quality data such as: News, Financials, Social Media and more…


    • Work with subject matter experts to identify opportunities for leveraging company data to solve data monitoring use cases.
    • Mine, wrangle and analyse company data to provide insights and drive R&D activities and model preparation.
    • Collaborate with colleagues/stakeholders on data acquisition, modelling and deployment.
    • Assess the effectiveness and accuracy of data sources and data gathering techniques.
    • Develop custom models and algorithms to applying to both real-time and non-real-time data.
    • Use predictive modelling to increase and optimize pricing / service outage anomaly detection and other related use cases.
    • Coordinate with different functional teams to implement models and monitor outcomes.


    Must have

    • 3-5 years working as a Data Scientist
    • Able to articulate complex data science concepts to both technical and non-technical audiences
    • Experience in Deep Learning and other Machine Learning techniques (e.g. regression, classification, topic modeling, time series,).
    • Experience designing, implementing, and testing Predictive Analytics models
    • Experience with machine learning in Python, SQL, or Pandas, Numpy, Scikit Learn, Tensorflow, Keras, PyTorch, or equivalent
    • Development of advanced algorithms in Python or Java

    Nice to have

    • Financial services industry experience
    • DevOps experience (Git, CI, etc)
    • Experience in Agile development methods
    • Experience in working in cloud environments (Azure, GCP, AWS, etc)

    English: B2 Upper Intermediate

    Seniority: Senior

    Relocation package: If needed, we can help you with relocation process.