AIML - Data Science Engineer

Responsibilities

1. Identify valuable data sources and automate collection processes
2. Undertake preprocessing of structured and unstructured data
3. Analyze large amounts of information to discover trends and patterns
4. Build predictive models and machine-learning algorithms
5. Combine models through ensemble modeling
6. Present information using data visualization techniques
7. Propose solutions and strategies to business challenges
8. Collaborate with engineering and product development teams

Requirements and skills

1. Proven experience as a Data Scientist
2. Experience in data mining
3. Understanding of machine-learning and operations research
4. Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
5. Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop)
6. Analytical mind and business acumen
7. Strong math skills (e.g. statistics, algebra)
8. Problem-solving aptitude
9. Excellent communication and presentation skills