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Opportunity Intelligence · Evidence at a glance

Applied Scientist Intern

Ramp · Hybrid · Other

Analysis calculated Oct 7, 2026, 5:14 AM UTC. Records can change after this page loads.

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.

Freshness

Recently verified

First detected by US Job Atlas
Oct 7, 2026, 2:20 AM UTC
Last verified
Oct 7, 2026, 2:20 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.

  1. First detectedOct 7, 2026, 2:20 AM UTC
  2. Last verifiedOct 7, 2026, 2:20 AM UTC
  3. 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
ramp
Provider posting date
Sep 15, 2026, 1:44 AM 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, 2:20 AM UTC · Last observed: Oct 7, 2026, 2:20 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

  • New York City, NY, 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: Intern

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

• State-of-the-Art AI : leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers • Versatile Techniques : apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference • Rigorous Experimentation : quantify the impact of your work through A/B tests and other statistical methods • Collaborate : partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features What You Need • B.S., M.S. or Ph.D.
Read in the job description →

Education mention

Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029.
Read in the job description →

Education mention

Graduate degrees are preferred, but not a must. • Strong ML Fundamentals : solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
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

Similar verified opportunities

Related active listings from current inventory; ordered using the existing category, title, workplace, and location matching.

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 →