SENIOR DATA SCIENTIST

Description

Job Summary: A professional responsible for developing, leading, and evolving advanced data science and artificial intelligence solutions, directly impacting business outcomes. Key Highlights: 1. Working at the frontier of innovation with AI, ML, and LLMs 2. A welcoming work environment and an amazing culture 3. Freedom to express ideas and appreciation for innovation Join our TEAM! \[ This position is open to: PCDs, women, individuals aged 40+, Indigenous people, LGBTQIAP+ individuals, and Black individuals. ] Are you passionate about CHALLENGES and seeking a WELCOMING work environment? This is your opportunity to shine! Here, our culture is outstanding, and we feel right at home. We value the freedom to express ideas and INNOVATION in everything we do. We are looking for a **Senior Data Scientist**, focused on developing advanced AI, machine learning, and LLM-based applications. If you want to work at the frontier of innovation and directly impact the business, this opportunity is for you! ? What You Need to Know: **Role Summary** This professional will be responsible for developing, leading, and evolving advanced data science and artificial intelligence solutions, including machine learning models, LLM-based applications, and agent-based architectures. They will cover the full lifecycle—from translating business problems into technical solutions to implementing scalable systems—ensuring direct impact on business results. A strategic mindset, strong analytical capability, product vision, and deep technical expertise in modern AI are expected. If you seek to work with cutting-edge technologies and deliver real value, this is the ideal opportunity ?✨ **Hard Skills** * Applied statistics and statistical inference * Supervised and unsupervised machine learning models * Advanced feature engineering * Model evaluation and validation * Advanced prompt engineering * RAG (Retrieval Augmented Generation) * Agent architecture and development * Tool orchestration within AI workflows * Evaluation and improvement of LLM responses * Experience with LLMs (OpenAI, Claude, Llama, Bedrock) * Multi-model strategies focused on performance and cost * Advanced Python for analysis and model development * Libraries such as Pandas, Polars * ML frameworks (Scikit-learn, PyTorch or similar) * Advanced SQL for data manipulation * Data consumption from Data Lake * Integration with data pipelines * AWS experience (S3, SageMaker, Bedrock, Glue, Athena) * MLOps / LLMOps practices (versioning, monitoring, continuous evaluation) **Job Responsibilities** * Develop and lead machine learning and generative AI solutions * Design and implement LLM-based applications and agent-based architectures * Translate business problems into scalable analytical and AI solutions * Build and validate statistical and machine learning models * Apply advanced feature engineering techniques * Develop data pipelines in collaboration with engineering teams * Implement RAG strategies and tool orchestration * Evaluate, monitor, and optimize model and LLM performance * Ensure solution quality, reliability, and continuous evolution * Work with multiple models, balancing cost and performance * Collaborate with engineering, data, and product teams * Clearly communicate results and insights to stakeholders.