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