Lead Data Scientist, AdTech
- Remote, Chile
- Lead
- Posted 2 weeks ago
or apply from Claude / ChatGPT / Muse
Hands-on data science role building models that pick which insurance carrier each shopper sees and how media spend gets bought; remote, mostly East Coast hours.
About the role
An individual contributor job where you frame the problem with the business, find your own data, and stay with models through deployment and monitoring while an ML engineer handles production.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, Chile
- Seniority
- Lead
- Skills
- Python, SQL, AWS, ECS, Athena, SageMaker, CI/CD
- Posted
- 21 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Build models that match each auto insurance shopper to the carrier most likely to convert
- Own the buying models behind media spend, held to ROAS targets
- Put carrier conversion data into production models
- Handle late labels, sparse sessions, repeat users and market drift
- Take automated marketplace bidding from proof of concept to scale
What they look for
- 5+ years of applied data science with measurable business impact
- Models that drove paid media decisions on spend, bidding or ad serving
- Ability to explain your work down to the loss function and architecture
- Experience with late labels, sparse features or drift
- Expert Python and SQL
Nice to have
- Real ad budget spent in live auctions
- Large-scale ranking or recommendation systems
- Neural network work such as embeddings
- AWS tools like ECS, S3, Athena and SageMaker
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 ncnwo2zhrrQuestions about this job
Is this a remote job, and where can I work from?
Yes. The posting lists Lead Data Scientist, AdTech as a remote role for candidates in Chile.
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: 5+ years of applied data science with measurable business impact; models that drove paid media decisions on spend, bidding or ad serving; ability to explain your work down to the loss function and architecture. Skills it names include Python, SQL, AWS, ECS.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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