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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 4 months ago
Applications closedQuelva Works
Remote
Berlin, Germany (UTC+1)
Most organizations have no idea how their processes actually run. They know how they're supposed to run — that's in the documentation. But the real pr...
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Posted 4 months ago
Applications closedQuilvex Systems
Remote
New York, United States (UTC-5)
Traditional actuarial models are built in R or Excel by people who learned their craft when GLMs were cutting edge. The insurance industry is starting...
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Posted 4 months ago
Applications closedSelvix Works
Remote
New York, United States (UTC-5)
A partner at an Am Law 100 firm decides whether to take a contingency case partly by gut feel, because predicting litigation outcomes is genuinely har...
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Posted 4 months ago
Applications closedSoltix AI
Remote
Berlin, Germany (UTC+1)
Machine translation quality is easy to measure in controlled benchmarks and hard to measure in production. A BLEU score tells you nothing about whethe...
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Posted 4 months ago
Applications closedSynta Cloud
Remote
Chicago, United States (UTC-6)
Manufacturing defects are expensive. A batch of faulty parts discovered after assembly costs 10x more to fix than a defect caught on the production li...
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Posted 4 months ago
Applications closedFelvix Tech
Remote
Berlin, Germany (UTC+1)
The EU AI Act just changed the game for every company deploying AI in Europe. Our clients — mostly mid-size SaaS companies — need help figuring out wh...
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Posted 4 months ago
Applications closedEvorra Systems
Remote
London, United Kingdom (UTC+0)
We help companies understand whether their AI investments are actually paying off. Not with vibes — with numbers. Our analytics platform tracks AI pro...
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Posted 5 months ago
Applications closedDelven Labs
Remote
New York, United States (UTC-5)
Our threat detection platform analyzes 500 million network events per day for mid-size enterprises. Traditional SIEM rules catch the obvious stuff. Ou...
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Posted 5 months ago
Applications closedIlvix Works
Remote
New York, United States (UTC-5)
Payment routing sounds simple until you realize there are 14 different processors, each with different fees, approval rates, currency support, and dow...
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Posted 5 months ago
Applications closedJaltrix Data
Remote
Chicago, United States (UTC-6)
Every ML model is built on labeled data, and bad labels produce bad models. We manage data labeling operations for AI companies that need high-quality...
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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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