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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 closedQuelion Intelligence
Remote
New York, United States (UTC-5)
Duration risk is the sensitivity of a bond portfolio's value to changes in interest rates. A portfolio with a duration of 8 years loses approximately...
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Posted 4 months ago
Applications closedQuelva Works
Remote
Chicago, United States (UTC-6)
Approval workflows are where business processes go to slow down. A purchase order that needs four sequential approvals from managers who are each resp...
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Posted 4 months ago
Applications closedReltrix Studio
Remote
London, United Kingdom (UTC+0)
Vocal stem separation — isolating the vocal track from a mixed music recording — is a foundational capability for remix production, karaoke generation...
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Posted 4 months ago
Applications closedSoltix AI
Remote
Madrid, Spain (UTC+1)
Back-translation is the quality verification technique of translating a translated text back to the source language and comparing the result to the or...
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Posted 4 months ago
Applications closedSynta Cloud
Remote
Chicago, United States (UTC-6)
Industrial equipment consumes energy in characteristic patterns: a compressor has a specific power draw at full load, a conveyor system has a predicta...
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Posted 4 months ago
Applications closedNelvix Labs
Remote
New York, United States (UTC-5)
Prosody is the rhythm, stress, and intonation of spoken language — the difference between a synthetic voice that sounds robotic and one that sounds na...
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Posted 4 months ago
Applications closedNolvex Studio
Remote
Los Angeles, United States (UTC-8)
User research produces interviews, usability sessions, survey responses, and support tickets — qualitative data that contains genuine insight about wh...
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Posted 4 months ago
Applications closedOrbio AI
Hybrid
Timezone not specified
Clinical phenotyping — defining computable criteria that identify a patient population with a specific disease, condition, or characteristic from thei...
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Posted 4 months ago
Applications closedOrvion Systems
Remote
Chicago, United States (UTC-6)
Shippers negotiate freight rates with carriers, but without benchmark data they negotiate blind — accepting rates that feel competitive without knowin...
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Posted 4 months ago
Applications closedOrvix Works
Remote
New York, United States (UTC-5)
Procurement fraud — fictitious vendors, inflated invoices, duplicate payments, kick-back arrangements between buyers and suppliers — costs organizatio...
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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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