Senior Data Scientist, GenAI

Senior Data Scientist, Moncton, NB (Hybrid) - Salary (P3 - Moncton) - $86,000 - $104,000

Fiddlehead Technology is a Canadian leader in advanced analytics and AI-driven solutions, helping global companies unlock value from their data. We specialize in applying machine learning, predictive forecasting, and Generative AI to solve complex business problems and empower smarter decision-making.

Our culture thrives on innovation, collaboration, and continuous learning. We invest in our people by offering structured opportunities for professional development, a healthy work-life balance, and exposure to cutting-edge AI/ML projects across industries. At Fiddlehead, employees are encouraged to explore, create, and grow while contributing to high-impact solutions.

As a Senior Data Scientist with expertise in GenAI, LLMs, and agentic solutions, you will play a key role in shaping and delivering advanced AI-driven products. You will contribute to the design and development of GenAI and LLM-based solutions while applying core data science skills, including statistics, machine learning, and problem-solving, to address complex challenges. Working closely with product managers, engineers, and stakeholders, you will help identify and prioritize high-impact use cases that drive business value. You will also lead innovation by experimenting with new architectures, prompt engineering techniques, and fine-tuning methods to optimize performance. Throughout your work, you will ensure that solutions are not only cutting-edge but also robust, scalable, and closely aligned with organizational needs.

Responsibilities will include:

• Develop and deploy data-driven models, including both classic ML and GenAI/LLM-based approaches.

• Participate or lead POCs and MVPs for GenAI/LLM-powered features such as RAG chatbots, agentic workflows, document parsing, etc.

• Design experiments, validate hypotheses, and apply statistical rigor to model and result evaluation.

• Write production-quality Python code and collaborate with data engineers on pipelines.

• Perform prompt engineering, fine-tuning, and evaluation of GenAI solutions developed on Cloud Infrastructures such as Azure, Databricks etc.

• Collaborate in cross-functional teams to deliver high-quality AI products.

• Stay current with the latest research and best practices in GenAI, ML, and AI productization

To be successful in the role, we are seeking applicants who have the following skills and experience:

• Minimum of 4 years of hands-on experience in data science and machine learning including GenAI

• Strong proficiency in Python and libraries such as pandas, scikit-learn, Hugging Face libraries, LangChain.

• Solid understanding of statistics, probability, and experimentation.

• Proven experience in designing, training, and deploying ML models into production.

• Experience with LLMs and GenAI applications: context engineering, design and building GenAI products.

• Experience with cloud platforms such as Azure and Databricks, and MLOps practices would be considered an asset.

• Prior involvement in AI product design (concept-to-production lifecycle).

• Problem-solving mindset with the ability to translate business needs into technical solutions.

• Excellent communication and collaboration skills.

• Familiarity with data privacy, security, and ethical AI practices.

We carefully review every application and are committed to providing a response. Candidates selected will be invited to an in-person or virtual interview. To ensure equal access, we provide accommodations during the recruitment process for applicants with disabilities. If you require accommodations, please reach out to our team through the contact page on our website. At Fiddlehead, we are dedicated to fostering an inclusive and accessible environment where every employee and customer is respected, valued, and supported. We welcome applications from women, Indigenous peoples, persons with disabilities, ethnic and visible minorities, members of the LGBT+ community, and others who can help enrich the diversity of our workforce.

We offer a competitive compensation package with performance-based incentives, flexible hybrid work arrangements, and opportunities to contribute to impactful projects. Employees benefit from mentorship, training, and active participation in AI communities, all within a collaborative culture that values innovation, creativity, and professional growth.