OverviewWe are seeking an experienced Lead Data Scientist to design, develop, and deploy advanced AI and machine learning solutions that solve complex business challenges. This role requires hands-on expertise across the full data science lifecycle, from data exploration and model development to deployment and monitoring, while leading projects and collaborating with cross-functional teams.
Key Responsibilities- Design, build, and deploy AI, Machine Learning, Deep Learning, and Generative AI solutions.
- Translate business challenges into scalable data science solutions.
- Perform data extraction, preparation, analysis, feature engineering, model training, and evaluation.
- Develop proof-of-concepts, prototypes, and production-ready models.
- Deploy, monitor, maintain, and optimize machine learning solutions.
- Present technical findings and recommendations to technical and business stakeholders.
- Lead end-to-end data science initiatives and mentor team members.
- Collaborate with cross-functional engineering and product teams.
- Contribute to innovation through research, experimentation, and knowledge sharing.
- 7-10+ years of experience building and deploying machine learning and AI solutions (5+ years may be considered with a relevant Ph.D.).
- Strong expertise in Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Vector Databases, and Agentic AI frameworks.
- Advanced programming experience with Python, PySpark, and SQL.
- Experience with ML/DL frameworks and cloud platforms such as AWS or Azure.
- Hands-on experience with Databricks and Hadoop.
- Strong understanding of data governance, privacy, and responsible AI practices.
- Excellent analytical, problem-solving, and communication skills.
- Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field (Ph.D. is an asset).
