Data Scientist

Job Brief:

A data geek that can deal with huge set of data to bring a value for the business by implementing descriptive analysis, statistical analysis as well as predictive analysis using machine learning tools and technologies.

Key Responsibilities:

• Develop tools for exporting, importing data, transfer and loading data
• Develop data models, algorithms and machine learning models to resolve business issues
• Participate in developing and implementing development tools for action execution and integrating actions with required systems and platforms
• Develop and implement descriptive analysis using Umniah existing datasets
• Participate in tuning Umniah NLP engine
• Work closely with Data Engineering team for data mining and data reporting
• Generate and develop report using existing Umniah datasets that will bring more insights about operation, customer experience and other requested values
• Utilize visualization tools for developing dashboard
• Participate internally in developing Umniah Data governance and data policies
• Develop programs using R Language or Python
• Import and export data using latest development kits (ETL)
• Manage data modeling projects internally and with vendors

Requirements

Education:

Bachelor Degree in Data Science or any other related field.

Level of Experience:

Limited Experience in a related field

Tools & Systems:

Essential:

• Impala, Hive & Spark
• Python or R programming languages
• Jupiter notebook or other IDE for ML and Data Analytics

Desirable:

• AWS, Microsoft & Google ML/Cognitive services

Technical Skills & Knowledge:

Essential:

• Good command of Impala, Hive & Spark
• Excellent command of Python & R programing languages
• SQL / NO SQL
• Cloud Data Storage
• UNIX commands
• FTP/SFTP
• ETL technologies
• Good command of statistics and probabilities
• Deep knowledge of machine learning
• Good command of data intuition
• Excellent command of analytical skills

Desirable:

• Hadoop/NoSQL and Kafka systems and Cloudera open source tools
• Tenseflow, Keras, Torch, Microsoft Cognitive tools
• Deep learning
• MYSQL/Oracle SQL/MS SQL,
• Neural Networks