A healthcare data and analytics companyHiring

Data Scientist, Applied AI

  • Remote, United States
  • Mid-level
  • Posted 2 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Data scientist on a generative AI team, building and testing LLM, RAG and agent workflows under senior guidance; individual contributor, US based.

About the role

The team works on practical generative AI applications, and this role produces the evidence that guides which approaches the team adopts.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Python, LLMs, RAG, Embeddings, Semantic search, LangGraph, PydanticAI, Git
Posted
27 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Compare models, embeddings and retrieval methods on quality, reliability, latency and cost using the team's criteria.
  • Create and update test cases, benchmark datasets and regression checks, then report results and limits.
  • Tune RAG pipelines, covering embeddings, retrieval, reranking and grounding.
  • Investigate wrong answers and retrieval misses, and use tracing and observability tools to monitor systems.

What they look for

  • Bachelor's degree in a quantitative or technical field.
  • Hands-on experience building LLM applications and evaluating their output.
  • Strong Python and data analysis skills, plus knowledge of embeddings, semantic search, RAG and evaluation metrics.

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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Apply from your AI assistant

Connect Keywordise to your assistant once, then send it the prompt. It applies for you.

ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
Apply to Keywordise job hj4uwxkn3p
How to connect

Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote for people in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: bachelor's degree in a quantitative or technical field; hands-on experience building LLM applications and evaluating their output; strong Python and data analysis skills, plus knowledge of embeddings, semantic search, RAG and evaluation metrics. Skills it names include Python, LLMs, RAG, Embeddings.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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A healthcare data and analytics companyRemote, United States
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