Senior Data Scientist, GenAI

3 days ago


City of Moncton, Canada Fiddlehead Technology Full time

Senior Data Scientist, Moncton, NB (Hybrid) - Salary (P3 - Moncton) - $86,000 - $104,000Fiddlehead 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. We are proud to offer competitive compensation, full benefits, and additional 30 days off (including every second Friday, the period between Christmas & New Year, and Truth and Reconciliation Day) on top of vacation, ensuring our team enjoys both professional fulfillment and personal well‑being. Responsibilities 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. Qualifications 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. Other information 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. About Fiddlehead Technology Fiddlehead is employing big data analysis and forecasting to revolutionize the food and beverage supply chain. We are solving the hard problems of reducing inventory cost and improving customer service levels, while building resiliency in the supply chain. Fiddlehead's core values are in : Diversity, Accountability, Transparency, Accuracy. 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. #J-18808-Ljbffr



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