Data Science Intern (2027)

02 · Requirements and your timeline

Check the actual eligibility requirements.

Degree levels recorded

Not stated

Graduation window

No graduation window stated

Start date

Not confirmed

Deadline

No fixed deadline confirmed

Minimum years of experience

No numeric minimum confirmed

No fixed application closing date is published in the reviewed JD or job-specific ATS application metadata; apply promptly and reconfirm before submitting.

2027 data science internship in San Francisco or New York. SQL plus Python/R, statistics and quantitative reasoning, structuring open-ended questions and communicating decisions. The JD does not state degree level, graduation window or a return-to-school condition.

• Role-specific sponsorship and CPT/OPT support are not confirmed.
• The posting does not specify an eligible degree level; bachelor’s/master’s eligibility must be confirmed.
• Figma permits up to five applications in a rolling 30-day period and restricts repeat applications to the same role.

Questions still to resolve

• Confirm sponsorship for the specific role and your circumstances.
• E-Verify enrollment has not been matched to the hiring legal entity. Verify separately if relevant to STEM OPT.
• Compare your degree and enrollment status with the official requirements.
• No fixed deadline was confirmed; check the official posting before applying.

Graduation dates are compared only where exact bounds are stated. We do not infer CPT/OPT eligibility, work permission or H-1B timing from your academic year.

03 · Separate employer check

E-Verify

Hiring legal entity not independently confirmed

No official E-Verify legal-employer match was verified for this posting. A general E-Verify notice is not a legal-entity match or proof of H-1B support.

E-Verify participation is separate from H-1B sponsorship and the other STEM OPT requirements. An employer statement or an unmatched name is not a completed legal-employer verification.

04 · Prepare with a purpose

What to prepare and why

Why prepare: the internship combines product metrics, experimentation and business analysis. Preparation: analyze adoption and retention, design an experiment and show how recommendations follow from validated evidence.