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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 closedOrvix Works
Remote
Chicago, United States (UTC-6)
We serve 340 retail clients who collectively manage relationships with 15,000 suppliers. Right now, vendor performance evaluation is a quarterly exerc...
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Posted 4 months ago
Applications closedPelvex Tech
Remote
Los Angeles, United States (UTC-8)
Our game platform has 4.2 million registered players and a 30-day retention rate of 34%. The industry benchmark for comparable games is 41%. That 7-po...
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Posted 4 months ago
Applications closedPolvex Studio
Remote
London, United Kingdom (UTC+0)
As a fully async team spread across 7 time zones, we believe great engineers can work from anywhere — as long as their code ships reliably and their a...
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Posted 4 months ago
Applications closedQuelion Cloud
Remote
Los Angeles, United States (UTC-8)
Search is only as good as your ability to measure it. Our search platform serves 14 million queries per day, and every algorithm change we ship gets v...
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Posted 4 months ago
Applications closedQuelion Intelligence
Remote
London, United Kingdom (UTC+0)
ESG scoring is broken. Most providers use the same reported data, apply the same methodologies, and produce scores with a 0.61 correlation to each oth...
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Posted 4 months ago
Applications closedRelvix Data
Remote
New York, United States (UTC-5)
We have 400 million data assets in our catalog — tables, columns, models, dashboards, pipelines — and about 15% of them have meaningful metadata: desc...
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Posted 4 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
Drug interactions kill more people annually than car accidents. Our platform predicts adverse drug-drug interactions using graph neural networks train...
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Posted 4 months ago
Applications closedQuelion Intelligence
Remote
New York, United States (UTC-5)
Hedge funds spend millions on alternative data — satellite images of parking lots, credit card transaction feeds, social media sentiment — trying to p...
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Posted 4 months ago
Applications closedOrvion Systems
Remote
Chicago, United States (UTC-6)
Last-mile delivery is the most expensive part of logistics, and our AI makes it cheaper. Our route optimization platform serves 8 delivery companies,...
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Posted 4 months ago
Applications closedSelvix Works
Remote
New York, United States (UTC-5)
Contract review takes lawyers hours per document. Our AI does the first pass in seconds — highlighting unusual clauses, flagging missing standard term...
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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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