Lead Data Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 10h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 100d ago
The date the source published, not the day we noticed it (2026-06-26). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $135k–216.2k/yr
Middle 50% of 156 listings that do state pay — Operations · Lead · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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bamboohr employer's own board first seen 10h ago · last seen 2h ago
The listing
Key Responsibilities
- Design, build, and deploy scalable AI and Machine Learning models to solve complex business problems.
- Develop predictive, classification, recommendation, and optimization models using structured and unstructured data.
- Build and fine-tune Large Language Models (LLMs) and Generative AI applications for enterprise use cases.
- Develop Retrieval-Augmented Generation (RAG) solutions and prompt engineering strategies.
- Collaborate with cross-functional teams including business stakeholders, data engineers, and application developers to deliver AI-driven solutions.
- Evaluate model performance and continuously optimize models for accuracy, scalability, and reliability.
- Stay current with emerging AI technologies, research, and industry best practices.
- Document models, methodologies, and deployment processes following enterprise standards.
- Mentor junior data scientists and contribute to AI best practices within the team.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- 6+ years of experience as a Data Scientist or in a similar AI/ML role.
- Strong hands-on experience in Artificial Intelligence and Machine Learning model development.
- Experience building, training, validating, and deploying ML models in production environments.
- Hands-on experience with Large Language Models (LLMs) and Generative AI technologies.
- Experience with prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
- Strong programming skills in Python.
- Experience with ML libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar.
- Experience with SQL and data manipulation techniques.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong analytical, problem-solving, and communication skills.