+
Login

Enter your email and password to log in if you already have an account on H512.com

Forgot password?
+
Създай своя профил в DEV.BG/Jobs

За да потвърдите, че не сте робот, моля отговорете на въпроса, като попълните празното поле:

102-49 =
+
Forgot password

Enter your email, and we will send you your password

HR agency Recruitment.bg

Data Scientist

ApplySubmit your application

The job listing is published in the following categories

  • Anywhere
  • Report an issue Megaphone icon

Report an issue with the job ad

×

    What is wrong with the job listing?*
    Please describe the problem:
    In order to confirm you are not a robot please fill the answer to the calculation in the field:
    Tech Stack / Requirements

    Who We Are

    Recruitment.bg is a boutique IT recruitment company, based in Bulgaria. We aim to work with the top employers in the industry, companies that we thoroughly vet and trust. Our mission is to guide IT professionals toward improved career paths by understanding their skills, crafting employment strategies, and supporting them every step of the way. Placing emphasis on honesty, respect and reliability while delivering exceptional service by ‘going the extra mile’ we build long term relationships with the people and organizations we work with.

     

    About the Company

    Our client is a forward-thinking tech company specializing in online gaming solutions, offering a diverse portfolio that includes casino games, sportsbook services, and a comprehensive gambling platform. Headquartered in Sofia, Bulgaria, the company operates on a global scale, with a presence in 25 countries and products deployed across 85+ jurisdictions. As a leader in innovation within the dynamic iGaming sector, our client is committed to continuous growth and technological advancement.

     

    Position Overview

     

    The Data Scientist role offers the opportunity to contribute to the design and deployment of cutting-edge machine learning models that power real-time gaming and payment systems. You’ll be joining a growing team within the Platform & Payments division, where creativity, experimentation, and innovation drive success.

     

    Responsibilities

     

    Develop and integrate machine learning and predictive models to solve key business problems.

    Conduct NLP model training and fine-tuning, adapting existing architectures to production needs.

    Explore and implement new ML approaches, tools, and frameworks (including LLMs).

    Collaborate with cross-functional teams to ensure smooth data flow and feature optimization.

    Work with large-scale data to detect trends, patterns, and actionable insights.

    Evaluate model performance and continuously improve efficiency and scalability.

    Maintain clear documentation and ensure reproducibility of experiments and results.

     

    Requirements

     

    Degree in Computer Science, Data Science, Statistics, or a related field.

    Proven track record as a Data Scientist, ideally within a data-heavy or real-time system.

    Advanced Python skills and experience with frameworks like TensorFlow, PyTorch, or Scikit-learn.

    Knowledge of machine learning theory, NLP, and LLM architectures.

    Ability to visualize and communicate data insights through Matplotlib, Plotly, or Tableau.

    Familiarity with cloud services (AWS, Azure, GCP) is advantageous.

    Experience in iGaming or similar industries will be considered a plus.

    Excellent English communication and problem-solving abilities.

     

    What You’ll Get

     

    Competitive salary, annual bonus, and regular salary reviews.

    Flexible hybrid working model – 2 days remote weekly.

    25 paid vacation days and comprehensive health coverage.

    Company shuttle, premium sports card, and transport benefits.

    Learning opportunities through training, workshops, and conferences.

    Modern office with chill zones, snacks, and an inclusive team culture.

    A chance to shape the future of AI-driven gaming platforms.

     

    All applications will be treated as strictly confidential. Only short-listed candidates will be contacted.

    [GV]