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EGT Digital

Senior Data Scientist

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Обявата е публикувана в следните категории

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    Tech Stack / Изисквания

    EGT Digital is a next-generation tech company that is focused on all online gaming products, and its portfolio includes Casino Games, Sportsbook, as well as the all-in-one solution – a Gambling Platform.

    EGT Digital is a part of Euro Games Technology (EGT) Group, headquartered in Sofia, Bulgaria. EGT Group is one of the fastest-growing enterprises in the gaming industry. Our global network includes offices in 25 countries and our products are installed in over 85 jurisdictions in Europe, Asia, Africa, North, Central, and South America.

    Being a part of such a fast-moving industry as iGaming, the company knows no limits and is growing rapidly through its dedication to innovation and constant improvement. This is the reason why we are expanding our Platform Department team and now we are looking for some fresh and enthusiastic people to come and join us in the exciting digital world of iGaming.


    Responsibilities

    • Design, develop, and implement machine learning algorithms and predictive models to investigate problems, detect patterns and recommend solutions.

    • Fine-tune and optimize NLP models to meet specific business requirements and performance standards.

    • Conduct research to stay abreast of the latest advancements in machine learning, natural language processing, and related fields.

    • Collaborate with data engineers and developers to ensure efficient data pipelines and robust feature engineering.

    • Analyze large and complex datasets to extract actionable insights and inform model development.

    • Evaluate model performance and implement improvements to enhance accuracy, efficiency, and scalability.

    • Provide support and troubleshooting for deployed models, ensuring their reliability and effectiveness.

    • Document methodologies, experiments, and code to ensure reproducibility and knowledge sharing within the team.


    Requirements

    • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

    • Proven experience as a Data Scientist, with a strong focus on machine learning and natural language processing.

    • Expertise in developing and fine-tuning large language models (LLMs)

    • Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.

    • Strong understanding of machine learning algorithms, statistical analysis, and data mining techniques.

    • Experience with data visualization tools and techniques to communicate insights effectively.

    • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

    • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

    • Familiarity with cloud-based machine learning platforms (e.g., AWS, Azure and/or Google data ecosystems).

    • Experience in the iGaming industry or a similar high-volume, data-intensive environment.


    What we offer

    • Competitive salary

    • Performance based annual bonus

    • Performance evaluation & salary review twice a year

    • 25 days paid annual leave

    • Work from home option -2 days weekly

    • Flexible working schedule

    • Additional health insurance – premium package

    • Fully paid annual transportation card

    • Fully paid Sports card

    • Free company shuttle by the office

    • Sports Teams/Sports events

    • Professional development, supportive company culture, and challenging projects

    • Company-sponsored trainings

    • Tickets for conferences and seminars

    • Team building events and office parties

    • Referral Program

    • Free snacks, soft drinks, coffee, and fruit are always available

    • Birthday, newborn baby, and first-grader bonuses

    • Corporate discounts in various shops and restaurants

    • State-of-the-art modern office

    • Positive working environment and chill-out zone (PS4, foosball-table, and lazy chairs)

     

    All applications will be treated in strict confidentiality and only the approved candidates will be invited to an interview.