Senior Data Scientist, Platform
- USD 180,370 to 212,200 per year
- Remote, United States
- Senior
- Posted 2 days ago
or apply from Claude / ChatGPT / Muse
Senior data science role on a platform team, working with product and engineering on experimentation, analytics and machine learning; mostly remote with quarterly in-person sessions.
About the role
Ownership of a broad data and metrics area, from definitions and logging through to visualisation, plus statistical rigour on experimentation and causal work that guides the roadmap.
At a glance
- Pay
- USD 180,370 to 212,200 per year
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- SQL, Python, ML models, ETL, Experimentation
- Posted
- 2 Nov 2026
- Last checked
- 3 Nov 2026
What you will do
- Run deep dives on ambiguous business problems and turn findings into recommendations for the team
- Review code, share SQL and Python know-how, and keep ETL jobs well maintained
What they look for
- A degree in a quantitative field such as maths, statistics, physics or computer science, with at least 5 years of relevant work, or a PhD wi
- A track record of driving data science projects through unclear problem spaces
- Skill at turning data findings into persuasive stories for external stakeholders
- Hands-on experience applying complex modelling to real business problems
- Professional SQL and Python, and work on digital products in iterative development
Benefits
- Medical, dental and vision cover
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 qxely7j3ejQuestions 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 states USD 180,370 to 212,200 per year.
What experience is needed?
It is a senior role. The posting asks for: a degree in a quantitative field such as maths, statistics, physics or computer science, with at least 5 years of relevant work, or a PhD wi; a track record of driving data science projects through unclear problem spaces; skill at turning data findings into persuasive stories for external stakeholders. Skills it names include SQL, Python, ML models, ETL.
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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