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Principal Data Scientist

Job in Toronto, Ontario, C6A, Canada
Listing for: Thoughtworks
Full Time position
Listed on 2026-07-07
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 120000 CAD Yearly CAD 80000.00 120000.00 YEAR
Job Description & How to Apply Below

Job Overview

Data scientists at Thoughtworks are strategic leaders who spearhead data-driven initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data science within the client organization. Drawing upon their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies, our data scientists integrate this knowledge with a comprehensive understanding of related domains to deliver tangible business value.

They devise strategies, execute plans, operationalize solutions and articulate the business outcomes achieved. Effective collaboration is paramount, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members.

Responsibilities

They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data science within the client organization. Drawing upon their profound expertise, they integrate this knowledge with a comprehensive understanding of related domains to deliver tangible business value. They devise strategies, execute plans, operationalize solutions and articulate the business outcomes achieved.

Effective collaboration is paramount, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members.

Qualifications

You have experience in the Retail and Customer Analytics industry.

You have experience with defining strategy/vision for the data science function, aligning it with the overall business strategy.

You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and product ionizing the models.

You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects.

You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc).

You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test.

You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity.

You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes.

You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability.

You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations.

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