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Lead Software Engineer
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CREQ239256 Requisition #
Seeking an experienced Data Scientist with a strong background in data analytics, coding, and complex SQL development. The ideal candidate will have hands-on experience working with large and diverse datasets, building analytics solutions, and delivering insights under tight timelines. This role requires strong technical foundations, data wrangling expertise, and the ability to work with both structured and unstructured data. You will collaborate with crossfunctional teams to design, develop, and automate data-driven solutions that support critical business decisions.


Analyze, interpret, and model largescale structured and unstructured datasets to generate meaningful insights and business recommendations
Write, optimize, and tune complex SQL queries to extract, transform, and manipulate large datasets efficiently
Develop and automate data sourcing, cleansing, transformation, and analytic pipelines using programming and analytics tools
Build dashboards, reports, and visualizations using analytics platforms (e.g., Tableau, Alteryx) to communicate insights effectively
Deliver analytics solutions and data-driven outputs within strict timelines, ensuring high quality and accuracy
Collaborate with business stakeholders to translate analytical findings into actionable strategies
Document data processes, methodologies, and models to support transparency and reusability
Support continuous improvement of data workflows, analytics tools, and best practices.

Seeking an experienced Data Scientist with a strong background in data analytics, coding, and complex SQL development. The ideal candidate will have hands-on experience working with large and diverse datasets, building analytics solutions, and delivering insights under tight timelines. This role requires strong technical foundations, data wrangling expertise, and the ability to work with both structured and unstructured data. You will collaborate with crossfunctional teams to design, develop, and automate data-driven solutions that support critical business decisions.


Analyze, interpret, and model largescale structured and unstructured datasets to generate meaningful insights and business recommendations 
Write, optimize, and tune complex SQL queries to extract, transform, and manipulate large datasets efficiently 
Develop and automate data sourcing, cleansing, transformation, and analytic pipelines using programming and analytics tools 
Build dashboards, reports, and visualizations using analytics platforms (e.g., Tableau, Alteryx) to communicate insights effectively 
Deliver analytics solutions and data-driven outputs within strict timelines, ensuring high quality and accuracy 
Collaborate with business stakeholders to translate analytical findings into actionable strategies 
Document data processes, methodologies, and models to support transparency and reusability 
Support continuous improvement of data workflows, analytics tools, and best practices.

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