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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 closedDravix Studio
Remote
Los Angeles, United States (UTC-8)
Mixing two tracks requires that their tempos align. Syncing a musical track to video requires that beat positions match edit points and scene transiti...
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Posted 4 months ago
Applications closedElara Intelligence
Hybrid
New York, United States (UTC-5)
A model explanation that changes significantly every time you ask it isn't trustworthy. SHAP values computed on the same instance twice, with only ran...
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Posted 4 months ago
Applications closedEvorra Systems
Remote
New York, United States (UTC-5)
When an incident is over, the first question is: what exactly happened, and in what order? Reconstructing a coherent incident timeline from alert logs...
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Posted 4 months ago
Applications closedFarion Data
Remote
New York, United States (UTC-5)
Brand advertising is notoriously difficult to measure. Conversion attribution captures last-click sales. It doesn't capture the awareness campaign tha...
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Posted 4 months ago
Applications closedFelvix Tech
Remote
New York, United States (UTC-5)
When a financial regulation changes, compliance teams need to understand what it means for their specific business before it takes effect. The analysi...
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Posted 4 months ago
Applications closedFynix Studio
Remote
Chicago, United States (UTC-6)
Not all users who adopt a feature behave the same way. The power user who uses the feature 20 times per week is in a fundamentally different cohort th...
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Posted 4 months ago
Applications closedGaltion Intelligence
Remote
Chicago, United States (UTC-6)
A voice bot that sounds friendly in some conversations and terse in others, uses formal language with some users and casual language with others, or b...
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Posted 4 months ago
Applications closedArca Works
Remote
New York, United States (UTC-5)
Regulatory frameworks increasingly require AI systems to produce documentation of how they make decisions: what data they used, what populations they...
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Posted 4 months ago
Applications closedXalto Tech
Remote
Chicago, United States (UTC-6)
Sales engineers need competitive intelligence at the moment they need it — in a discovery call when a prospect mentions they're also evaluating a comp...
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Posted 4 months ago
Applications closedXolvex Studio
Remote
New York, United States (UTC-5)
Every sports highlight clip needs a caption for social distribution. Right now, our platform's producers write these manually — which at 800 clips per...
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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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