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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 4 months ago
Applications closedTalmion Data
Remote
Los Angeles, United States (UTC-8)
Every user on our learning platform gets a different experience — different content recommendations, different difficulty progression, different revie...
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Posted 4 months ago
Applications closedPolvex Studio
Remote
New York, United States (UTC-5)
Our clients — PR agencies and brand managers — need to know what people are saying about their brands, and whether the tone is positive, negative, or...
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Posted 4 months ago
Applications closedSynta Cloud
Remote
Berlin, Germany (UTC+1)
Industrial equipment fails in patterns — but only if you know how to read the sensor data. Our predictive maintenance platform monitors 15,000 machine...
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Posted 4 months ago
Applications closedJorvex Studio
Remote
New York, United States (UTC-5)
Creative teams produce ad variants by intuition and test them by running campaigns that cost $50,000 to learn which headline converts better. That fee...
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Posted 4 months ago
Applications closedKrato AI
Remote
New York, United States (UTC-5)
The best customers you have not found yet look like your best customers. Lookalike modeling — building audience segments that share behavioral and dem...
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Posted 4 months ago
Applications closedLamion Solutions
Remote
New York, United States (UTC-5)
A physician note that is missing a diagnosis code, an incomplete medication reconciliation, or a discharge summary that does not mention a complicatio...
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Posted 4 months ago
Applications closedLyrex Data
Remote
New York, United States (UTC-5)
Data teams build datasets, pipelines, and dashboards — but they rarely measure whether anyone actually uses them. A pipeline that runs daily and serve...
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Posted 4 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
A refrigerated truck carrying $400,000 of pharmaceutical products experiences a compressor failure at 2 AM. The temperature creeps up 3 degrees over 6...
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Posted 4 months ago
Applications closedHoltix Solutions
Remote
New York, United States (UTC-5)
Matching a purchase order to an invoice sounds simple until the invoice is in euros, the PO is in dollars, the currency rate was locked at a different...
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Posted 4 months ago
Applications closedIlvix Works
Remote
New York, United States (UTC-5)
Merchant category codes tell you what kind of business a merchant claims to be. They do not tell you whether the business is a front for card testing,...
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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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