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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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Posted 5 months ago
Applications closedQuilvex Systems
Remote
London, United Kingdom (UTC+0)
Insurance underwriting is the art of pricing risk — and our models do it faster and more accurately than traditional actuarial methods. We serve 6 ins...
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Posted 5 months ago
Applications closedTrivon Data
Remote
New York, United States (UTC-5)
Our models predict game outcomes for 6 professional sports leagues. Not for fun — for regulated sportsbooks that need accurate probability estimates t...
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Posted 5 months ago
Applications closedDelvio Solutions
Remote
Chicago, United States (UTC-6)
SEC filings are dense, repetitive, and full of legally precise language that hides meaningful information in plain sight. Our AI reads them so investm...
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Posted 5 months ago
Applications closedKlavio Works
Remote
Berlin, Germany (UTC+1)
Our translation QA tool catches errors in e-commerce product descriptions across 8 languages. But how do you test an AI that tests translations? Caref...
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Posted 5 months ago
Applications closedDaeva Tech
Remote
Los Angeles, United States (UTC-8)
Our visual inspection platform processes 12,000 images per hour per facility. But models are only as good as the data they're evaluated against. We ne...
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Posted 5 months ago
Applications closedElara Intelligence
Remote
London, United Kingdom (UTC+0)
Our clients deploy ML models in healthcare, lending, and hiring — three domains where biased predictions cause real harm. They hire us to find the bia...
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Posted 5 months ago
Applications closedGradrix Works
Remote
Chicago, United States (UTC-6)
Traditional AML systems generate 95% false positive alerts. Compliance analysts spend their days reviewing transactions that aren't suspicious, while...
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Posted 5 months ago
Applications closedJarvik Solutions
Remote
New York, United States (UTC-5)
Our clients buy our AI platform and then need help making it work for their specific use case. That's where you come in. As an AI customer success eng...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Berlin, Germany (UTC+1)
Our retail clients need to know how much of each product to stock in each warehouse next week. Too much, and they're paying for storage. Too little, a...
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Posted 5 months ago
Applications closedKrato AI
Remote
New York, United States (UTC-5)
We sell AI tools to marketing teams, and we practice what we preach. Our own growth engine runs on AI — automated competitive analysis, AI-generated a...
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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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