Responsibilities
Within IBKR :
- Design, develop, and implement data pipelines to collect, clean, and transform data from various sources
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Assist with data labeling and tagging
- Analyze large amounts of information to discover trends and patterns
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
- Perform feature engineering for AI applications
What Skills Are Required :
BS / MS / PhD in Computer Science, Engineering, or relevant field; agraduate degree in Data Science or other quantitative field is preferred.5 + years of experience as a Data Scientist or Data AnalystExperience in data miningUnderstanding of machine learning and operations researchKnowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus.Experience using ELK Stack (Elasticsearch, Logstash, Kibana)Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)Experience with AI / ML-based solutions for data analysis is a big plus.Analytical mind and business acumenStrong math skills (e.g., statistics, algebra)To Be Successful in This Position, You Will Have the Following :
Self-motivated and able to handle tasks with minimal supervision.Superb analytical and problem-solving skills.Excellent collaboration and communication (Verbal and written) skills.An innovative mindset with a drive to improve upon existing systems.Outstanding organizational and time management skills.Company Benefits & Perks :
Discretionary annual bonus (cash and stock)Private healthcare insuranceFree recreational pass (AYCM XL package)Daily food allowance in the officeMonthly BKK passHybrid way of working (2 days home office / week)Modern office in the heart of Budapest with free amenitiesGreat atmosphere with friendly and exceptional colleagues and frequent company outings.The benefits package will be reviewed regularly and may be subject to change.