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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 closedSoltix AI
Remote
Berlin, Germany (UTC+1)
Terminology inconsistency in localization is expensive. A software product that uses 'dashboard' in the English interface but has three different tran...
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Posted 4 months ago
Applications closedSynta Cloud
Remote
Detroit (UTC-5)
When production yield drops from 96% to 91% on a manufacturing line, engineers need to find the root cause before more defective units ship. The data...
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Posted 4 months ago
Applications closedNavio Tech
Remote
New York, United States (UTC-5)
API documentation that shows static code snippets has a conversion problem: developers read it, feel uncertain, and leave without making their first A...
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Posted 4 months ago
Applications closedNelvix Labs
Remote
Los Angeles, United States (UTC-8)
A speech recognition model trained primarily on American English performs substantially worse on Indian English, Nigerian English, and Scottish Englis...
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Posted 4 months ago
Applications closedOrbio AI
Hybrid
New York, United States (UTC-5)
AlphaFold told us what a protein looks like. What it doesn't tell us is what the protein does. Structure-to-function prediction — given a folded prote...
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Posted 4 months ago
Applications closedOrvion Systems
Remote
Chicago, United States (UTC-6)
Cross-docking is the logistics practice where freight arriving at a terminal is immediately sorted and routed outbound without entering storage — redu...
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Posted 4 months ago
Applications closedLumio Systems
Remote
Chicago, United States (UTC-6)
We deploy AI models for 45 enterprise clients. Every deployment generates metrics: pre-deployment test results, canary analysis outcomes, rollout spee...
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Posted 4 months ago
Applications closedMaltex AI
Remote
New York, United States (UTC-5)
School districts and corporate L&D teams that license our adaptive learning platform have one question above all others: did the learners actually lea...
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Posted 4 months ago
Applications closedMendra Intelligence
Remote
New York, United States (UTC-5)
Shell companies exist to obscure who actually controls an asset. A sanctioned individual owning 24% of a holding company that owns 33% of an operating...
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Posted 4 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Black Friday. Valentine's Day. The week before Thanksgiving. Back-to-school. These demand spikes are predictable — but predicting their magnitude prec...
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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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