Mid Level Data Scientist

Tasks

• Analyze data using data mining
• Build distributed data-processing pipelines
• Build predictive machine learning models
• Code, test, and maintain models
• Create and optimize modeling solutions
• Develop automation and predictive systems
• Develop statistical and simulation techniques
• Evaluate model performance
• Gather data for models
• Integrate model outputs into production systems
• Mine data using advanced methods
• Perform data preprocessing
• Profile and visualize data
• Support data management and modeling infrastructure

Perks/Benefits

• N/A

Skills/Tech-stack

Apache Spark | Automation | C# | C++ | Data Architecture | Data Mining | Data Preprocessing | Data Processing | Data Visualization | Distributed data | Distributed data processing | ETL | Feature Engineering | HDFS | HTML | Hadoop | JSON | Java | JavaScript | Kafka | Machine Learning | Power BI | Predictive Modeling | Python | R | SAS | SPSS | SQL | Statistical Analysis | Tableau