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Must Haves:
4+ years of data science experience
Hands-on experience with large language models (LLMs)
Python programming skills
Experience building or implementing RAG (Retrieval-Augmented Generation) pipelines
Nice to Haves:
Strong promotional track/tenure in past roles
Large enterprise experience
Client Day-to-Day:
As a Senior Data Scientist III, you will use your advanced analytical and machine learning skills to extract insights from large-scale data and develop scalable AI/ML solutions. You’ll collaborate cross-functionally with engineering, product, and data teams to deliver innovative, production-ready models.
You will also work closely with stakeholders to design and implement RAG-based architectures, integrating external knowledge sources (e.g., vector databases, semantic search) to improve LLM performance for enterprise use cases.
Responsibilities:
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Develop and deploy models using machine learning algorithms such as deep learning, gradient boosting, and random forests
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Apply LLMs in real-world applications, including RAG pipelines and hybrid retrieval techniques
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Work with transformer-based models such as BERT, RoBERTa, T5, GPT-3.5, GPT-4, Claude, Mistral, etc.
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Build and manage pipelines using distributed computing frameworks (e.g., Spark, Hadoop)
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Write production-quality code using Python or other modern languages
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Lead or mentor junior team members and serve as a subject matter expert
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