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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 5 months ago
Applications closedIlvix Works
Remote
New York, United States (UTC-5)
Subscription businesses live and die by MRR predictability. Investors want reliable ARR forecasts; finance needs accurate 12-month revenue projections...
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Posted 5 months ago
Applications closedIntevo AI
Remote
New York, United States (UTC-5)
Not all buyers respond the same way to price changes. A price-sensitive segment will defect to a competitor for a 10% discount; a value-driven segment...
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Posted 5 months ago
Applications closedJarvik Solutions
Remote
Chicago, United States (UTC-6)
Customer success teams manage hundreds of accounts and need to prioritize their attention. Which accounts are thriving and don't need hand-holding? Wh...
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Posted 5 months ago
Applications closedJorvex Studio
Remote
New York, United States (UTC-5)
Email subject lines are the most A/B tested element in marketing, and most email teams still write them by instinct. Our optimizer generates 10 subjec...
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Posted 5 months ago
Applications closedKolvex Cloud
Remote
New York, United States (UTC-5)
Engineers spin up cloud resources and forget about them. A dev database running 24/7 for a project that ended 6 months ago. A GPU instance nobody conn...
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Posted 5 months ago
Applications closedKrato AI
Remote
Los Angeles, United States (UTC-8)
Every content team asks the same question before hitting publish: "Will this go viral?" Most answers are gut feeling. Ours is a prediction model train...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Grocery retailers throw away $18.2 billion in fresh produce every year because they can't predict when items will expire. A strawberry batch from farm...
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Posted 5 months ago
Applications closedDelven Labs
Remote
New York, United States (UTC-5)
Phishing emails evolve faster than signature-based filters can keep up. A new campaign launches, bypasses filters for 6-12 hours, compromises hundreds...
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Posted 5 months ago
Applications closedEmrex AI
Remote
Chicago, United States (UTC-6)
LLM API costs are unpredictable. A single runaway prompt chain can consume $500 in tokens before anyone notices. Our token budget management system gi...
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Posted 5 months ago
Applications closedFarion Data
Remote
New York, United States (UTC-5)
Did that $500K ad campaign actually generate incremental sales, or would those customers have bought anyway? Attribution models say the campaign drove...
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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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