Opportunity reality
Fresh
The record was verified within the past 24 hours.
Why we're showing this
Stored status: Active. Known expiry: Not available. The rule also considers verification recency and first detection.
Opportunity Intelligence · Evidence at a glance
Data Science Intern (Winter 2027)
Notion · Hybrid · Data Science
Analysis calculated Oct 7, 2026, 5:21 AM UTC. Records can change after this page loads.
Freshness
Recently verified
- First detected by US Job Atlas
- Oct 7, 2026, 2:10 AM UTC
- Last verified
- Oct 7, 2026, 2:10 AM UTC
Why we're showing this
Based on stored first_seen_at and last_verified_at timestamps. First detected is not necessarily the employer's posting date.
Apply timing
Strong timing
First detected within 7 days, verified within 24 hours, and the source has a recent successful sync.
Why we're showing this
Source activity: Recent successful sync. A strong timing label uses a 7-day detection window and verification within 24 hours. This is not a hiring probability.
Source trail
Where this opportunity came from.
- First detectedOct 7, 2026, 2:10 AM UTC
- Last verifiedOct 7, 2026, 2:10 AM UTC
- Current recordActive
- Primary source
- Ashby
- Provider last successful sync
- Oct 7, 2026, 5:10 AM UTC
- Original posting
- Open original source ↗
- Employer board reference supplied by source
- notion
- Provider posting date
- Aug 19, 2026, 10:32 PM UTC
- Known expiration
- Not available
Why we're showing this
These milestones come from stored timestamps, not a reconstructed event history. Verification of the canonical record and each source's last observation are separate facts.
Ashby
Source status: Active · First detected: Oct 7, 2026, 2:10 AM UTC · Last observed: Oct 7, 2026, 2:10 AM UTC
View this source ↗Multi-source evidence
Limited source evidence
1 linked providers · 1 with an active source record · 1 active and observed within 72 hours.
0 providers with recorded closure and no active record in this read.
Repost: insufficient evidence. Multiple linked providers do not prove that an employer reposted this role.
Why we're showing this
Providers are counted once from existing links to this canonical job. Recently observed means an active source record, no recorded closure, and a non-future last observation within 72 hours. It is not a fresh URL check or a guarantee of availability. Historical sources remain visible; unknown and contradictory records are not promoted to recent evidence. No duplicate matching or merging is performed.
Location clarity
Hybrid
- San Francisco, CA, US · physical
Why we're showing this
Locations are read from the canonical location records. Remote status alone does not establish where you are eligible to work. Check the source's authorization and residency requirements.
Salary transparency
Not disclosed
Not disclosed in the available structured record
Employment type: FullTime
Why we're showing this
Only non-estimated structured salary values are shown. Missing salary or employment data is not inferred.
Your fit · Source evidence
Requirements worth reading closely.
Deterministic extraction finds explicit mentions and preserves source wording. Mentions, including negative or optional statements, are not automatically mandatory requirements. Review the complete description.
Education mention
• Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences.Read in the job description →
Location requirement mention
Must graduate before December 2027. • This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time. • Previous research or internship experience. • Proficient in SQL for data extraction, transformation, and analysis. • Working towards proficiency in one or more scripting languages such as Python or R. • You find large challenges exciting and enjoy discovering problems as much as solving them. • You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.Read in the job description →
Required skills
You may be opinionated, but you're not ideological and can learn new technologies as you go. • Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time.Read in the job description →
Education mention
For roles based in San Francisco, the estimated hourly range for this role is $55/hr for Bachelors and $59/hr for Master’s. #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work.Read in the job description →
Why we're showing this
Only source sentences matching defined skill, qualification, experience, education, license, clearance, authorization, or location phrases are included. Coverage is incomplete; missing excerpts are not proof that a requirement does not exist.
Optional · Browser-only comparison
Your fit, without a fake score.
Application effort
Effort level unavailable
Applications continue on an external employer or provider website. The number of steps, fields, and completion time have not been verified.
No explicit cover letter, portfolio, assessment, account creation, or questionnaire mention was extracted.
Why we're showing this
Provider: Ashby. A known ATS does not establish how long this particular application will take. Excerpts are mentions, not a validated application checklist.
Next best move
Optimize first
Review the source requirements and compare your resume evidence before applying.
Why we're showing this: The record was verified within the past 24 hours. Resume overlap is a text comparison and does not confirm mandatory eligibility. Verify location, authorization, licenses, and clearance yourself before proceeding.
Review and apply at the source ↗We do not recommend skipping an opportunity solely because it is old or because your resume omits a term.
Keep your options open
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Evidence, not a prediction.
This analysis reflects the records available when loaded. It cannot establish employer intent, guarantee availability, or predict an application outcome.
Read the full methodology →