Channels / CY iT HR
CY iT HR
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Veronika
Veronika
2024-10-31 10:10 UTC
#vacancy #Junior #вакансия
🚨iGaming компания в поиске Finance operation specialist.
🗺 Локация: EU🇪🇺🇪🇺🇪🇺
💡Готовы обучать сотрудников без опыта работы в финансовом отделе.
🖇Обязанности:
• Анализ активности и обработка платежей на основе полученных данных;
• Обработка тикетов/запросов от службы поддержки;
• Сменный график работы 2/2, 12 часов, с ночными сменами.
🖇Наши преимущества:
- Карьерный и профессиональный рост;
- Достойная заработная плата;
- Оплачиваемый отпуск (22 дня) и больничный.
📲@recruiter_w
🚨iGaming компания в поиске Finance operation specialist.
🗺 Локация: EU🇪🇺🇪🇺🇪🇺
💡Готовы обучать сотрудников без опыта работы в финансовом отделе.
🖇Обязанности:
• Анализ активности и обработка платежей на основе полученных данных;
• Обработка тикетов/запросов от службы поддержки;
• Сменный график работы 2/2, 12 часов, с ночными сменами.
🖇Наши преимущества:
- Карьерный и профессиональный рост;
- Достойная заработная плата;
- Оплачиваемый отпуск (22 дня) и больничный.
📲@recruiter_w
Veronika
2024-10-31 14:11 UTC
#vacancy #вакансия #remote
🔥We are looking for Data Scientist in our iGaming company🎰
🌍: Ukrainian-speaking❗️
👨🏻💻: Full-time, remote
💠Requirements:
• Proven experience in modeling, data analysis, business intelligence;
• Conduct extensive data analysis and feature engineering to prepare datasets for machine learning tasks;
• Apply optimization algorithms to enhance the model efficiency;
• Evaluate and refine existing models to enhance their accuracy, efficiency, and scalability;
• Experience in solving customer behavior prediction tasks;
• Experience in building recommendation system;
• Knowledge of ML algorithms for regression, classification, clustering, ability to apply them to business problems;
• Solid experience in SQL. Experience with different databases is a plus;
• Experience in Python, including data analysis packages;
• Deep understanding of statistics, probability theory.
💠Will be plus:
• Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);
• Experience with tools for managing ML workflows;
• Knowledge and experience with algorithms and data structures;
• Knowledge of OOP;
• Understanding of containerization technologies (Docker)
participation in Kaggle competitions.
💠Responsibilities:
• Developing and testing machine learning models for customer behavior prediction, deploying to production;
• Working with tabular data - collecting, cleaning, and exploring datasets, building ML pipelines;
• Applying statistical methods to analyze and interpret data, finding patterns, insights to improve quality of models;
• Maintaining existing models;
• Communicating and presenting results.
💠Benefits:
- Exciting job in a fast-growing product with a multicultural team of professionals.
- Friendly work atmosphere with passionate experts and leaders.
- Comfortable offices in multiple locations.
- Laptop and necessary equipment provided.
- Paid vacations, sick leave, and personal days off.
- Health insurance and referral program.
📲@recruiter_w
🔥We are looking for Data Scientist in our iGaming company🎰
🌍: Ukrainian-speaking❗️
👨🏻💻: Full-time, remote
💠Requirements:
• Proven experience in modeling, data analysis, business intelligence;
• Conduct extensive data analysis and feature engineering to prepare datasets for machine learning tasks;
• Apply optimization algorithms to enhance the model efficiency;
• Evaluate and refine existing models to enhance their accuracy, efficiency, and scalability;
• Experience in solving customer behavior prediction tasks;
• Experience in building recommendation system;
• Knowledge of ML algorithms for regression, classification, clustering, ability to apply them to business problems;
• Solid experience in SQL. Experience with different databases is a plus;
• Experience in Python, including data analysis packages;
• Deep understanding of statistics, probability theory.
💠Will be plus:
• Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);
• Experience with tools for managing ML workflows;
• Knowledge and experience with algorithms and data structures;
• Knowledge of OOP;
• Understanding of containerization technologies (Docker)
participation in Kaggle competitions.
💠Responsibilities:
• Developing and testing machine learning models for customer behavior prediction, deploying to production;
• Working with tabular data - collecting, cleaning, and exploring datasets, building ML pipelines;
• Applying statistical methods to analyze and interpret data, finding patterns, insights to improve quality of models;
• Maintaining existing models;
• Communicating and presenting results.
💠Benefits:
- Exciting job in a fast-growing product with a multicultural team of professionals.
- Friendly work atmosphere with passionate experts and leaders.
- Comfortable offices in multiple locations.
- Laptop and necessary equipment provided.
- Paid vacations, sick leave, and personal days off.
- Health insurance and referral program.
📲@recruiter_w
2 messages on this day