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# Senior Data Scientist

- **Company:** GFT Technologies
- **Location:** Québec, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, C++ (Programming Language), Cloud Database, Information Engineering, Data Mining, DevOps, R (Programming Language), Python (Programming Language), Machine Learning, Software Engineering, Large Language Models, Machine Learning Operations, Data Pipelines
- **Published:** July 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/occkezp4zu

## About the Role

* Bachelor's in Software Engineering or related fields.

 * Strong in one or more programming languages (Python, R, C++, Java), with prior experience in data engineering, cloud data architecture, or large-scale data pipeline development.

 * 6+ years of relevant data science experience, with a strong emphasis on consumer-facing platforms, human-generated data, or equivalent data science domains.

 * 4+ years of experience applying advanced statistical methods and data mining techniques to identify new business opportunities and address existing challenges, including experience building data products from concept to production.

 * Experience with AI/Machine Learning (ML), including LLMs and trendy ML models, encompassing prompt engineering, fine-tuning, pipeline setup, validation, and Quality Assurance (QA) for targeted applications.

 * Experience translating complex technical concepts to non-technical partners.

Preferred Qualifications

 * Knowledge of Data Engineering, DevOps practices for AI model deployment, and MLOps principles.

 * AWS Experience: Familiarity with core AWS services used in a data context.

 * Experience in a Startup Environment: Comfortable with ambiguity and a fast-paced setting.

## Description

* Human-Centered Analysis: Manipulate human behavior, sentiment, and language data to uncover hidden patterns and support data-driven decision-making.

 * AI/ML Model Development: Craft effective prompts to interact with AI models, optimizing output quality and relevance, performing fine-tuning, data feeding, validation, and engineering for continuous improvement.

 * Deliver Pragmatic Solutions: Consistently make pragmatic technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment.

 * Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery


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