Principal Data Scientist, Market Intelligence
- Remote, United States
- Lead
- Posted 3 days ago
or apply from Claude / ChatGPT / Muse
Principal data scientist on a market and competitive intelligence team, using statistics, machine learning and LLM tools to guide business decisions; remote in the US.
About the role
Remote role with a small strategy and analytics group that reports into executive leadership. Success means turning messy market data into products and clear recommendations that leaders act on.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Lead
- Skills
- Python, SQL, Machine learning, Data Engineering, Statistics
- Posted
- 26 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Dig through big, complex datasets to spot trends and measure how the business performs against competitors
- Design and run statistical models and machine learning on structured and unstructured data that moves fast
- Build AI and LLM powered data products that scale for partners and customers
- Present findings in reports, visuals and talks to technical and non-technical audiences
- Coach and mentor the junior data scientists on the team
What they look for
- A master's in data science, computer science, statistics or a similar analytical field plus at least 4 years of relevant work after graduati
- Strong Python and SQL skills
- A solid data engineering base: modular, maintainable code, pipeline design and performance tuning
- Hands-on work building and scaling AI or LLM agents for automation and information extraction, with guardrails, accuracy checks and human re
Benefits
- Medical, vision and dental coverage
- Paid time off including sick, parental, family care, bereavement, jury duty and voting leave
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
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.
Apply to Keywordise job nxy6cxkx3cQuestions about this job
Can I do this job remotely, and from which countries?
The posting lists it as remote for people in the United States.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a lead role. The posting asks for: a master's in data science, computer science, statistics or a similar analytical field plus at least 4 years of relevant work after graduati; strong Python and SQL skills; a solid data engineering base: modular, maintainable code, pipeline design and performance tuning. Skills it names include Python, SQL, Machine learning, Data Engineering.
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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