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Browse remote Pandas positions — data engineering, feature engineering, and Python data science roles at AI-first companies.
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Full-time roles and fixed-scope freelance missions, matched to your AI skills.
Posted 4 months ago
Applications closedCeltrix AI
Remote
Los Angeles, United States (UTC-8)
Our wearable devices generate inference logs, power consumption metrics, and model accuracy signals continuously — but right now that data sits on dev...
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Posted 4 months ago
Applications closedDelven Labs
Remote
New York, United States (UTC-5)
Security teams receive hundreds of vulnerability alerts per day. Most are noise: low-severity CVEs in components that aren't exposed, known exploits f...
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Posted 4 months ago
Applications closedEvorra Systems
Remote
Chicago, United States (UTC-6)
When Service X degrades, which other services break, and by how much? At most companies, the answer lives in someone's head. At ours, it should be in...
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Posted 4 months ago
Applications closedFarion Data
Remote
New York, United States (UTC-5)
Marketing attribution is one of the most contested problems in data analytics. Which touchpoint — the Instagram ad, the email, the Google search, the...
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Posted 4 months ago
Applications closedFelvix Tech
Remote
London, United Kingdom (UTC+0)
Regulatory risk is qualitative until someone has to put a number on it. When a CISO presents to the board, they need to say 'our current compliance ga...
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Posted 4 months ago
Applications closedGaltion Intelligence
Remote
New York, United States (UTC-5)
Our voice bot platform handles 400,000 calls per month across 28 enterprise clients. When a bot fails — mishears a phrase, loses the conversation thre...
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Posted 4 months ago
Applications closedArca Works
Remote
New York, United States (UTC-5)
Every AI system we assess goes through a structured ethics audit: a documented review of training data provenance, model behavior on protected attribu...
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Posted 4 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
Pharmacovigilance is legally required but functionally broken at most pharmaceutical companies. FDA receives over 2 million adverse event reports per...
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Posted 4 months ago
Applications closedBrenvo Tech
Remote
Chicago, United States (UTC-6)
Our chatbot platform serves 340 enterprise clients, and every client needs training data that reflects their specific domain, tone, and use cases. A h...
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Posted 4 months ago
Applications closedCandor Systems
Hybrid
New York, United States (UTC-5)
When a company receives a whistleblower report or launches an internal investigation, the investigation team needs to reconstruct what happened from f...
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Role guide
Pandas is the backbone of Python data work. Remote Pandas roles involve data cleaning, feature engineering for ML pipelines, exploratory data analysis, and building the data foundations that AI models depend on. Strong Pandas engineers are proficient in vectorised operations, memory optimisation, and integrating Pandas with the broader PyData ecosystem.
Are there remote jobs specifically requiring Pandas experience?
Pandas is rarely the only listed skill — it typically appears with Python, NumPy, and Scikit-learn in data science and ML engineering roles. Feature engineering and data pipeline positions are the most relevant.
Is Pandas enough for remote data science jobs, or do I need more?
Pandas is foundational, not sufficient alone. Most remote AI roles also require SQL, Python scripting, and at least one ML framework. Adding Scikit-learn and Spark/Dask significantly broadens your options.
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