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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:

Develop and deploy models using machine learning algorithms such as deep learning, gradient boosting, and random forests

Apply LLMs in real-world applications, including RAG pipelines and hybrid retrieval techniques

Work with transformer-based models such as BERT, RoBERTa, T5, GPT-3.5, GPT-4, Claude, Mistral, etc.

Build and manage pipelines using distributed computing frameworks (e.g., Spark, Hadoop)

Write production-quality code using Python or other modern languages

Lead or mentor junior team members and serve as a subject matter expert

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