Sr. Data Scientist

Data engineers with PySpark proficiency.

Data engineers by definition - Build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. This includes –

• Coding – Any language (we can look for pyspark), Shell scripting, Linux knowledge
• Data warehousing
• Knowledge of operating systems
• Database systems & Data analysis
• Critical thinking skills
• Knowledge on Big data, Hadoop & Basic understanding of machine learning
• Communication skills

Professional experience – see if you want to revisit the below points, I think we don’t need that qualification for this profile

• Post graduate degree in Economics, MBA, Statistics, Mathematics, Operations Research, Quantitative Analysis, or related field
• Strong statistical and quantitative analysis skills. Knowledge of Statistical Analysis techniques which are used in Marketing analytics.