Data Scientist

Key Skills

Analytical and Problem solving, CNNs, Dash framework, Data science techniques, Deep Learning, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PowerBI, Python Programming, QlikView, R-Shiny, RNNs, SQL, Tableau

Job Description

Wargaming is looking for a Data Scientist to join our Data Science team. 

The team’s mission involves the synthesis of data from multiple sources, including log files detailing player behavior, transaction data, survey responses, forum and chat interactions, as well as a myriad of databases. We dive deep into the data ocean to unearth patterns, trends, and hidden opportunities. By converting raw information into actionable insights, we empower a diverse range of specialists within the organization, including game designers, developers, and marketing experts, to enhance the quality of our products. 

The Data Science team thrives on the dynamic nature of our projects. We handle an assortment of tasks from various teams, ensuring that each new project is an interesting challenge. 

What will you do?

• Create and enhance advanced analytical models, machine learning and statistical solutions to solve complex problems.
• Play a role in the development of end-to-end machine learning pipelines.
• Design and implement various tools and applications for clear and efficient communication of ML model outcomes to stakeholders. 
• Collaborate with other teams to identify opportunities for process enhancement and the technical advancement of data-driven solutions. 
• Conduct in-depth ad-hoc analytics and investigations in response to key business questions. 
• Effectively communicate complex models to stakeholders who may not possess a strong grasp of statistics and programming. 
• Perform ongoing technology monitoring to stay abreast of advances in data science and artificial intelligence. 

What are we looking for?

• Bachelor's or Master's degree in Computer Science, Mathematics, Economics, Statistics, or a related quantitative field. 
• 2 years of experience in data analysis, data science, or a related field. 
• Experience and interest in formulating solutions based on abstract information. 
• Specialized knowledge in predictive modeling and ML techniques. 
• Experience working with big-data environments, including both structured and unstructured data, and a strong command of SQL. 
• Experience in writing production-quality, scalable code using Python for building ML models with large-scale datasets. 
• Strong analytical and problem-solving skills and the ability to thrive in a collaborative and creative work environment. 
• Excellent communication skills for conveying results and complex concepts to non-technical colleagues. 
• Upper-Intermediate or higher level of English. 

What additional skills will help you stand out?

• Knowledge of basic deep learning architectures such as MLPs, CNNs, and RNNs. 
• Familiarity with theoretical concepts in NLP, LLM. 
• Experience in data visualization tools (Tableau, Power BI, Qlik, etc.). 
• Experience in developing WebApps using Dash, RShiny, or Javascript. 
• Familiarity with building APIs. 
• Experience in the game development industry. 
• Passion for online/digital multiplayer gaming.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:

• 21 days holiday (additional days based on years of service: up to 25 days) + 15 days as public holidays
• Paid Sick Leave up to a certain number of days, Marriage Leave
• Career development and education opportunities within the company
• English language courses fully covered by the company upon Manager's approval
• Premium Private Health Care 
• Onsite gym and spa
• Free parking
• Free drinks-equipped kitchen in every floor building
• Hellenic Bank benefits
• Employee discounts (e.g. restaurants, bars, etc.)
• Personal Gaming Account 
• Onsite canteen with subsidized prices for food and drinks
• Company events, Social Clubs
• Seniority Awards
• Referral program - You can recommend the best talents to the company and receive a reward