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Sr. Data Scientist

DRH Search
Full-time
Remote
United States
Data Science and Analytics
We're assisting a well funded startup in the defense-tech space with their search for a Senior Data Scientist.Ā  Their AI-powered platform enhances data analysis with interactive, intuitive and engaging AI tools. The role is remote with travel to client sites or military bases once every couple of months.
Ā 
What you'll do:
  • Extend the platform into an Agentic framework using state of the art Generative AI based methods.

  • Support data science team in developing and deploying deep learning based AI/ML solutions for customers.

  • Work with customer data and own the development of an AI solution from ideation to production.

  • Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.

What you'll bring:
  • Must either hold active US security clearance or be willing and eligible to hold one.

  • Ability to travel to client sites/military bases.

  • B.S. Degree in Computer Science, Mathematics, Statistics, Data Science or Machine Learning. (MS or PhD is a plus.)

  • 3+ years of experience writing production ready code in Python.

  • 3+ years of experience with Python Data Stack (i.e. pandas, numpy, scipy, scikit-learn, and matplotlib).

  • 2+ years of experience deploying a machine learning model in a production environment.

  • 2+ years of experience developing and deploying Deep Learning based ML models using PyTorch or Tensorflow.

  • 1+ year of experience developing AI/ML solutions that incorporate Large Language Models.

  • Strong working knowledge of classical ML and deep learning techniques including regression, classification, multi-label estimation, clustering, dimensionality reduction, etc.

  • Experience with GenAI frameworks & libraries (e.g. ollama, vllm, langchain, llamaindex, ziliz, milvus, faiss, pgvector, elasticsearch).

  • Excellent written and verbal communication skills in English.


Nice to haves:

  • Experience developing and deploying RAG solutions, including substantive knowledge of text embedding, search, and retrieval.
  • Experience with using transfer learning (e.g. fine-tuning LLM) to adapt existing deep learning models to customer data.

  • Experience developing Generative AI-based Agents or developing agentic solutions.

  • Strong familiarity with deep learning architectures including Transformer models.

  • Experience developing NLP-based solutions for tasks such as sentiment analysis, text classification, topic modeling, entity extraction, summarization, and question-answering.

  • Experience developing evaluation methodologies for Generative AI based solutions (e.g. evaluating performance in a RAG system or multi-agent systems).

  • Experience constructing, querying and analyzing Knowledge Graphs.