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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 6 months ago
Applications closedOceanAI
Remote (EU)
Berlin, Germany (UTC+1)
A lot of recommendation work assumes huge catalogs and huge interaction volumes. We do not have either, at least not in the way the big entertainment...
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Posted 6 months ago
Applications closedHangul AI
Hybrid (Chicago, US)
Chicago, United States (UTC-6)
This is an operations-heavy data science role inside a building materials distributor with 61 branches across the Midwest. The team needs better deman...
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Posted 6 months ago
Applications closedNordBot AI
Remote (UK)
London, United Kingdom (UTC+0)
We are the performance analytics department of a professional rugby union club. We compete in the Premiership. We have a head of performance, two spor...
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Posted 6 months ago
Applications closedGulf Analytics
Remote
Chicago, United States (UTC-6)
We are an 18-person EdTech startup. We launched our adaptive learning platform fourteen months ago. We have 26,000 registered learners, a paying schoo...
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Posted 6 months ago
Applications closedQuantumEdge
Hybrid (London, UK)
London, United Kingdom (UTC+0)
This role sits within the analytical division of a UK national public health agency. Our team provides statistical modelling and data analysis to supp...
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Posted 6 months ago
Applications closedClover Systems
Remote
London, United Kingdom (UTC+0)
You know that moment in a game when the AI does something and you think — wait, was that actually intelligent? That's what our team works on. We make...
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Posted 6 months ago
Applications closedLoopAI
Hybrid (Bristol, UK)
London, United Kingdom (UTC+0)
Real estate is not a glamorous data problem. The data is patchy, inconsistently structured, and often held by people who don't want to share it. The w...
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Posted 6 months ago
Applications closedCognia
Remote
Chicago, United States (UTC-6)
We make project management software for architecture firms. It's not the most glamorous product category in tech, but architecture practices are genui...
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Posted 6 months ago
Applications closedInfrastack
Remote
New York, United States (UTC-5)
Let's be straightforward about what this role is and isn't. You are not going to be running complex ML pipelines on day one. What you will do is build...
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Posted 6 months ago
Applications closedAutoTrace AI
Remote
Nairobi, Kenya (UTC+3)
We are a nonprofit organisation that has spent the last nine years making university-level education accessible to learners in sub-Saharan Africa. We...
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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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