Data Scientist/AL Resource - Full-time

Below is a clean, ready‑to‑post version of the Data Scientist / AI Resource opportunity.
Feel free to copy‑paste it into your applicant‑tracking system, LinkedIn, Indeed, or any other job board you use. I’ve also added a short “How to Apply” section and a few tips for maximizing visibility.

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📌 Job Title

Data Scientist / AI Resource

📍 Location

Princeton, NJ (on‑site / hybrid – specify if remote work is possible)

⏳ Contract Length

3 – 6 months (with possible extension)

🌐 Visa Eligibility

Open to candidates on any visa status (U.S. citizens, permanent residents, H‑1B, F‑1 OPT, etc.)

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🔎 What We’re Looking For

Must‑have Skills	Details
Programming / Data Science	Experience with Python or R (or both). Familiarity with data‑science libraries (pandas, NumPy, scikit‑learn, tidyverse, caret, etc.) and basic machine‑learning workflows.
Algorithms & OOP	Solid understanding of data structures, algorithms, and object‑oriented design concepts. Ability to write clean, maintainable code.
Communication	Strong verbal and written communication skills. Ability to explain technical concepts to non‑technical stakeholders and work collaboratively in a team environment.
Interpersonal Skills	Proactive, self‑motivated, and comfortable interacting with cross‑functional teams (product, engineering, business).

Note: Candidates do not need to be experts in every area—demonstrated competence in any of the listed technical skills is sufficient.

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📋 Responsibilities (Typical)

• Data Exploration & Preparation – Clean, transform, and visualize data sets to uncover insights.
• Model Development – Build, evaluate, and iterate on machine‑learning models (regression, classification, clustering, etc.).
• Algorithmic Problem Solving – Apply appropriate data‑structures and algorithmic techniques to improve performance and scalability.
• Documentation & Reporting – Produce clear technical documentation, dashboards, and presentations for stakeholders.
• Collaboration – Work closely with engineers and product owners to integrate models into production pipelines.

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💼 What We Offer

• Competitive daily/weekly rate (please include your rate requirement in the application).
• Short‑term contract with the possibility of extension based on project needs and performance.
• Exposure to cutting‑edge AI/ML problems in a fast‑moving environment.
• Flexible working hours (subject to project milestones).

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📧 How to Apply

1. Send your updated résumé (PDF preferred).
2. Include:
   • Your rate requirement (e.g., $X/hr or $Y/day).
   • Contact details (phone, email).
   • Best times we can reach you for a quick call.
3. Optional: a brief cover note highlighting which of the required skills you excel at.

Email: [recruiter@example.com] (replace with the actual address)

If you know someone who would be a perfect fit, please forward this posting to them and CC us.

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📢 Tips for Posting This Role

Platform	Recommended Title	Key Tags/Keywords
LinkedIn	Data Scientist – Contract (Princeton, NJ)	Python, R, Machine Learning, Data Science, Contract
Indeed	AI/ML Contractor – Data Scientist (Princeton, NJ)	AI, ML, Python, R, Data Structures
Glassdoor	Data Scientist – Short‑Term Contract	Data Science, Algorithms, OOP, Visa Sponsorship
Specialized Boards (e.g., Kaggle Jobs, AI‑Jobs.net)	Data Scientist – 3‑6 Month Contract	Python, R, ML, Data Engineering

• Add a “Remote” tag if hybrid/remote work is allowed – it widens the talent pool.
• Highlight “Visa: Any” in the job description to attract international talent.
• Include salary/rate range (if permissible) to filter out mismatched expectations early.

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That’s it!
If you need any further tweaks—such as a more detailed list of project responsibilities, a company overview, or help drafting a short recruiter outreach email—just let me know. Good luck finding the right candidate!