Data Scientist Data Science Team

Limited Information Available on Specific Role Search results do not identify the exact "Edtech Company" or provide details on the "Data Scientist, Data Science Team" internship/graduate program listed on BuiltIn NYC at the given URL. No direct matches for an edtech firm with this remote New York-based data science role for students/recent graduates (ages 18-25) appear in the results, which instead cover unrelated jobs at companies like Harvey, Block, ServiceNow, Tatari, and iHeartMedia, plus NYC tech ecosystem stats. Company Intelligence

• NYC Tech Ecosystem Context (Proxy for Edtech Position): NYC hosts 549,200 tech workers (6% of workforce per 2024 CompTIA survey), with key industries in artificial intelligence and fintech; $25.5B in 2024 VC funding (Pitchbook); major employers include Capgemini, Bloomberg, IBM, Spotify; notable investors: Greycroft, Thrive Capital, Union Square Ventures.
• No edtech-specific company history, size, culture, mission, recent news, growth, values, or remote/hybrid policies found for this listing. BuiltIn NYC focuses on SaaS, fintech, AI roles as a top job resource. Program Deep Dive
• No details on program structure, timeline, skills required (e.g., Python, SQL, ML for data science), daily responsibilities, mentorship, training, or post-program career paths. Tatari (adtech, not edtech) mentions a Software Engineer Intern involving backend projects and data analysis, but lacks data science specifics. Application Success Guide
• Process: Apply directly via https://www.builtinnyc.com/jobs/remote/data-analytics/data-science (verify current status as listings change). Typical BuiltIn flow: Submit resume, cover letter, portfolio via platform; no deadlines or requirements specified here.
• No company-specific interview questions, assessments, case studies (e.g., data modeling challenges), or standout traits detailed. Insider Tips
• General for NYC Tech Data Roles: Demonstrate AI/ML knowledge given industry focus; balance technical skills (e.g., data pipelines) with soft skills like ownership in ambiguity, as seen in high-growth firms like Harvey. Show edtech passion (e.g., AI in education).
• Questions to ask: "How does the data team impact product decisions?" or "What metrics define intern success?"
• Avoid: Generic applications; lack of NYC tech awareness (e.g., cite Columbia/NYU AI resources). Practical Information
• No salary/stipend, benefits, start dates, duration, or networking/alumni info for this role. NYC tech internships often range $25-40/hour for entry-level data positions (market inference, not sourced). Actionable Next Steps for Young Professionals
• Visit the URL immediately to capture live details before expiration.
• Tailor resume with data science projects (e.g., Kaggle, edtech datasets); quantify impacts (e.g., "Built ML model improving prediction by 20%").
• Network via LinkedIn: Search "BuiltIn NYC data science intern" alumni; join NYU/Columbia edtech groups.
• Prepare technically: Practice SQL queries, Python pandas, basic stats; review edtech trends like AI tutoring.
• Apply to similar: Tatari Software Intern (backend/data) or NYC AI roles on BuiltIn. Directly access the listing for full specs, as results lack program confirmation. Build a portfolio showcasing edtech-relevant data work to stand out in competitive NYC tech.