Trigyn has a contractual opportunity for an Data Science Specialist. This resource will be working Remotely.

: 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;

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