Responsibilities:
1. Data mining using state-of-the-art methods
2. Extending company’s data with third party sources of information when needed
3. Enhancing data collection procedures to include information that is relevant for building analytic systems
4. Processing, cleansing, and verifying the integrity of data used for analysis
5. Doing ad-hoc analysis and presenting results in a clear manner
6. Creating automated anomaly detection systems and constant tracking of its performance
Minimum Requirements:
1. Bachelor’s and/or Master’s degree in Statistics, Mathematics, Computer Science or another quantitative field
2. 3 - 5 years of experience manipulating data sets and building statistical models
3. Strong problem-solving skills
4. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
5. Experience working with and creating data architectures
6. Experience with Excel, PowerPoint, PowerBI, SQL
7. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Preferred Qualifications:
1. Familiarity with Java or C++
2. Basic understanding of the Maritime industry
3. Basic understanding of Supply Chain Management
4. Experience of working on similar projects in the past is an advantage
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