Data Scientist

Business competencies

Essential

• 2-3 years of industrial/research experience in a Data Science/Engineering Team
• 1-2 years of experience in working in time series forecasting
• 1+ years of experience in working with AWS or Databricks
• 1+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
• Experience working on end-to-end analytics project from requirements analysis till deployment of project
• Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
• Knowledge of RDBMS concepts and experience working with SQL
• Understanding of data visualization principles and experience with data visualization tools such as Tableau
• Master’s degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,

Engineering, Data Science)

• In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
• Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining

Beneficial

• Experience working with geo-spatial data and/or unstructured data at scale
• Experience in other statistical packages like SPSS, Eviews etc.
• Experience in working in Maritime Industry

Personal competencies

• Good logical thinking and problem-solving skills
• Good communication skills and ability to confidently present technical solutions to stakeholders
• Great teamwork and ability to connect with people and build strong professional relationship