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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 6 months ago
Applications closedBasketMind AI
Remote
We're the pricing team at a European airline. We price 180 routes. Our current pricing is largely rules-based — look at competitors, apply a markup, d...
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West African telecom operator, 12M subscribers. Our churn rate is 4.2% monthly and we don't know who's about to leave until after they've ported their...
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500k transactions/day. 2.3% false positive rate on fraud blocks. Every false positive is a declined legitimate transaction — real revenue, real custom...
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Posted 7 months ago
Applications closedNeuvelle AI
Remote
Our churn model works. We think it can do significantly better and we don't know which direction to push. Need someone to look at our data and feature...
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Posted 7 months ago
Applications closedHarborNest Data
Remote
Our logistics product tells customers when shipments will arrive. The uncomfortable truth: sometimes we are confidently wrong. We need a product data...
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Posted 7 months ago
Applications closedLedgerBrook Analytics
Remote (US)
We underwrite small business loans using bank transaction data, accounting exports, and application signals. The current model is serviceable, but it...
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Posted 7 months ago
Applications closedPhotonSense
Remote
Our content recommendation system was built 4 years ago and hasn't been meaningfully improved since. Click-through rates are declining and our users a...
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Posted 7 months ago
Applications closedFlowCore AI
Remote
We're a B2C SaaS company with 80k users and decent data — but we're not using it effectively. We make decisions based on gut feeling when we should be...
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Posted 7 months ago
Applications closedAzulai
Remote (US)
This is a junior role. We mean that. We're not looking for someone with 5 years of experience — we're looking for someone sharp, curious, and ready to...
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Posted 7 months ago
Applications closedGovAI PT
Remote (EU timezone)
We operate electricity distribution infrastructure across Austria, Slovenia and Croatia. Forecasting energy demand accurately 24–72 hours ahead is cri...
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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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