Data Scientist

Responsiblties:

• Provide expertise in data modeling and design (defining tables, configuring table and column properties, defining relationships, resolving many-to-many relationships, defining appropriate levels of granularity) for both operational data and analytical data.
• Build and maintain data pipelines, integrating data, ensuring data interoperability, implementing data structures, and designing and maintaining data storage.
• Design and build data architectures consisting of models and developing standards and rules for how collected is stored, arranged, integrated, and used in data systems.
• Plan, implement, and control activities that apply quality management techniques to data to ensure it is fit for consumption and meets the needs of users.
• Access and leverage structured relational data as well as semi-structured and unstructured data including big data. Experience in object development and design.

Requirements:

• Experience with Artificial Intelligence, Machine Learning, and Modeling.
• Proficient in web development languages.
• Proficient in Project Management Software.
• Proficient in on-premises and cloud business software.
• Proficient in multi-platform collaboration tools.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.