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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 3 months ago
Applications closedNortex Solutions
Remote
Denver, United States (UTC-7)
Every new client fills out a satisfaction survey thirty days after onboarding, and today someone skims the free-text responses once a quarter if there...
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Posted 3 months ago
Applications closedEmrex AI
Remote
New York, United States (UTC-5)
We spend seven figures a year across three different LLM providers, and nobody has systematically compared what we're actually paying against current...
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Posted 3 months ago
Applications closedNortex Solutions
Remote
Denver, United States (UTC-7)
Every new client fills out a satisfaction survey thirty days after onboarding, and today someone skims the free-text responses once a quarter if there...
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Posted 3 months ago
Applications closedJorvex Studio
Remote
New York, United States (UTC-5)
Forty freelance writers and designers invoice us every month, and reconciling those invoices against actual delivered work still happens in a spreadsh...
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Posted 3 months ago
Applications closedInovex Intelligence
Remote
Los Angeles, United States (UTC-8)
We ship a new internal developer tool every quarter, and half of them quietly die from lack of adoption because nobody systematically asks engineers w...
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Posted 3 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
We're building the infrastructure that turns decades of handwritten lab notebooks into structured, searchable data for drug discovery teams. Fast-movi...
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Posted 3 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
You'll be the third fraud analyst on a team of nine, working directly with the returns operations group. We already have a solid transaction dataset a...
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Posted 3 months ago
Applications closedTrivon Data
Remote
New York, United States (UTC-5)
Fast-moving team. Big problem. Fans and leagues alike want to know if officiating calls are statistically consistent, and we don't yet have a model th...
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Posted 3 months ago
Applications closedZenora Labs
Remote
New York, United States (UTC-5)
Versioned datasets, licensing terms, and a growing pile of external benchmark sources are the core of what we manage. We already have dozens of benchm...
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Posted 3 months ago
Applications closedCandor Systems
On-site
Chicago, United States (UTC-6)
What would it take to schedule internal audits around both auditor workload and real risk, instead of a spreadsheet that ignores both? Our clients inc...
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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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