Remote positions
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 3 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
We're building forecasting tools that keep life-saving drug shipments moving through fragile cold-chain supply networks connecting manufacturing sites...
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Posted 3 months ago
Applications closedPaleon Data
Remote
Denver, United States (UTC-7)
We're building the next generation of climate-aware irrigation scheduling tools for large-scale farm operators managing thousands of acres across vari...
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Posted 3 months ago
Applications closedSoltix AI
Remote
Madrid, Spain (UTC+1)
Every new market a media client wants to enter starts with the same question: how much will localization actually cost, and how long will it take? We...
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Posted 3 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
We're building the next generation of AI-powered demand and assortment planning tools for grocery and retail chains, and need a data engineer who can...
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Posted 3 months ago
Applications closedTrivon Data
Hybrid
New York, United States (UTC-5)
We work with professional sports franchises to help them decide what merchandise to stock and where. The person in this role will join our analytics t...
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Posted 3 months ago
Applications closedPaleon Data
Remote
London, United Kingdom (UTC+0)
We're building the forecasting models that water utilities use to plan a season ahead. Our climate risk platform already predicts extreme heat and sto...
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Posted 3 months ago
Applications closedTelvion Labs
Remote
Toronto, Canada (UTC-5)
Ever tried training a vision model with a dataset that's ninety percent duplicates? That's the problem our synthetic data team solves for computer vis...
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Posted 3 months ago
Applications closedWavion Intelligence
Remote
Denver, United States (UTC-7)
Our search team keeps losing users who phrase a query slightly differently than our index expects. A user searching for "cheap flights next week" and...
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Posted 3 months ago
Applications closedZaltex Data
Hybrid
Dublin, Ireland (UTC+0)
Postgres, geospatial indexing, and a fleet of a thousand rebalancing vans are what we work with daily. Cities pay us to keep bike share stations from...
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Posted 3 months ago
Applications closedOrvix Works
Remote
Los Angeles, United States (UTC-8)
New supplier diversity reporting requirements just landed on three of our biggest client contracts. Procurement teams now need to show diverse supplie...
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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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