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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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Full-time roles and fixed-scope freelance missions, matched to your AI skills.
Posted 1 month ago
Applications closedDaeva Tech
Remote
Denver, United States (UTC-7)
Our clients include manufacturers who cannot afford a single missed shipment window. This role sits at the center of that reliability: you'll work wit...
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Posted 1 month ago
Applications closedElara Intelligence
Hybrid
New York, United States (UTC-5)
We serve enterprise clients who need to trust every fairness and bias metric we publish about their AI systems, so our data science bench has to hold...
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Posted 1 month ago
Applications closedJarvik Solutions
Remote
Los Angeles, United States (UTC-8)
Have you ever wondered whether your recruiting funnel is actually inefficient, or if it just feels that way? Our customer success platform team is sma...
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Posted 1 month ago
Applications closedQuelva Works
Remote
London, United Kingdom (UTC+0)
We run as a distributed team with no fixed hub, which works fine for building software but gets harder when the deliverable is a statistical claim cli...
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Posted 1 month ago
Applications closedUlara AI
Remote
New York, United States (UTC-5)
We're building voice AI products that process a lot of sensitive audio data, and keeping that data properly governed is not optional. Fast-moving team...
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Posted 1 month ago
Applications closedBolvex Solutions
On-site
Chicago, United States (UTC-6)
Our clients include regional hospital networks that depend on us to flag abnormal lab results before they slip past a busy clinician. The person in th...
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Posted 1 month ago
Applications closedIlvix Works
Remote
New York, United States (UTC-5)
We don't care where you work from. We care about output, clear communication, and ownership. Right now our payment dispute team spends hours manually...
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Posted 1 month ago
Applications closedJaltrix Data
Remote
Denver, United States (UTC-7)
Our mission is to make high-quality training data accessible to teams who can't afford the annotation budgets of big labs. We work with a dozen annota...
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Posted 1 month ago
Applications closedValtrix Solutions
On-site
Chicago, United States (UTC-6)
We serve county assessor offices that need defensible, explainable property valuations every tax cycle. The person in this role will lead the statisti...
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Posted 1 month ago
Applications closedNolvex Studio
Remote
New York, United States (UTC-5)
Have you ever wanted your prototypes to react to real usage data instead of guesswork? We built a design system where every micro-interaction is backe...
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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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