Data Scientist
Tasks:
- Communicate with internal business units & leadership team to identify most impactful areas for research and development in analytics
- Enhance data collection procedures to include information that is relevant for building analytic systems
- Process, cleanse, and verify the integrity of data used for analysis
- Use business intelligence tools such as Power BI for better
- visualization and transparency of data analytics, driving insightful business strategies and improved business performances
- Build tools to automate data collection
- Generate information and insights from data sets and identify trends and patterns
- Develop modern machine learning models by utilizing deep knowledge of advanced data science toolkits
What we offer?
- Contract of employment and competitive salary
- Be a part of a global IT, fast growing organization
- A real influence on company's achievements
- Transparency and respect at each stage of contact
- Cooperation with globally recognized brands
- Benefits package five different schemes
- External training
What do we expect?
- More than 5 years of proven experience in data science, machine learning projects
- A bachelor's degree in data science, data analytics, computer science, mathematics, statistics, econometrics, financial engineering, computer or electrical engineering, or other related quantitative fields More advanced degree preferred
- Proven experience as a Data Scientist or Data Analyst
- Very good knowledge of common data science toolkits such as SQL, R, Python, Hadoop, Spark, TensorFlow
- Expertise in Machine Learning and Artificial Intelligence (AI)
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB, Cassandra, Hbase
- Experience with data visualization tools (e g Power BI, Python, R)