Data Science Specialist

Trigyn has a contractual opportunity for an Data Science Specialist. This resource will be working Remotely.
Job Description:
The Data Science and Engineering Specialist will be responsible for the following duties:
• Architect, analyze, integrate and manage data in order to build data models and data driven insights to generate significant organizational value;
• Implement data collection and integration procedures to gather information that is relevant for building and embedding analytic systems into user portals;
• Create models and processes to collect, distill and interpret data with a view to aid better, more informed decision making;
• Analyze a broad range of existing data sources;
• Examine and explore data from multiple disparate sources;
• Analyze and implement data pipelines to bring data from databases and APIs into the analytics platform;
• Processing, cleansing, and verifying the integrity of data used for analysis;
• Design and implement data marts and data pipelines using hybrid cloud technologies;
• Develop tabular cubes, database views, datasets and dataflows to expose data to visualization tools;
• Build machine learning solutions for monitoring, detection, automation and forecasting;
• Write documentation and prepare training materials;
• Perform other duties as required
Qualification Requirements/Evaluation Criteria
Education:
Advanced University degree (Master’s degree or equivalent) in Applied Mathematics, Physics, Statistics, Computer Science, Information Systems / Technology, Business Administration, Engineering, or related field.
A first level university degree with a combination of relevant academic qualifications and experience in information and communications technology may be accepted in lieu of advanced university degree.
Language:
Fluency in spoken and written English is required.
JFQ/JSQ:
Required:
• A minimum of five (5) years of progressively responsible professional experience in the field of Information and Communication Technologies, Engineering or other related fields is required.
• A minimum of three (3) years of experience in development, implementation and maintenance of data systems, integrations and ETLs or related areas is required;
• A minimum of three (3) years of experience with Microsoft SQL or other relational databases;
• A minimum of three (3) years of experience with MS Fabric;
• A minimum of three (3) years of experience developing with MS Microsoft SQL Server Integration
• A minimum of three (3) years of experience in data transformation with Python;
• Experience developing data models with DAX or MDX in MS SQL Server Analysis Services or Power BI;
• Experience leveraging Generative AI tools and Large Language Models (LLMs) to accelerate data transformation, scripting (Python, DAX, SQL), and data modeling;
• Experience in database modeling and datamart design;
Desirable:
• Experience in programming with C# and .Net;
• Experience with MS machine learning and AI solutions;
• Experience in REST APIs;
• Familiarity with data automation techniques;
• Familiarity with big data frameworks such as Spark and Hadoop;
• Knowledge of Agile/Scrum methodologies;

Work arrangement
Yes