Data Science Specialist
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Job description
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 requiredQualification Requirements/Evaluation CriteriaEducation: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
Requirements
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;
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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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