We are looking for a skilled Data Science Analyst to contribute to innovative projects and deliver impactful solutions in sectors like Utilities, Oil & Gas, Mining, Manufacturing, Chemicals, and Forest Products. This role demands strong technical skills in Generative AI and data science, coupled with client delivery expertise for cutting-edge cloud-based analytics projects.

- Conduct advanced analytics using Python, SQL, and Pyspark, including machine learning frameworks. - Design predictive models, recommendation systems, and optimization solutions to meet business objectives. - Manage and process large, complex datasets, ensuring efficient pipelines and sophisticated feature engineering. - Develop MLOps pipelines for model training, monitoring, and scaling. - Create dashboards and reports in PowerBI/Tableau to track model impact and present insights to stakeholders. - Architect and implement end-to-end data science workflows on cloud platforms like AWS, Azure, or GCP. - Lead the development of Generative AI applications using frameworks such as LangChain and LlamaIndex. - Evaluate model performance using metrics like BLEU, ROUGE, and FID, and optimize for production.

- 1-5 years of experience in data science. - Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related field. - Proficiency in Python, SQL, and Pyspark. - Hands-on experience building and deploying Generative AI applications in production. - Experience with cloud platforms such as Azure, AWS, or GCP. - Familiarity with visualization tools like PowerBI or Tableau. - Strong analytical and problem-solving abilities with a focus on results. - Excellent communication and stakeholder management skills.