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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 4 months ago
Applications closedYentrix Works
Remote
New York, United States (UTC-5)
Technical documentation should improve based on how developers actually interact with it. When 40 developers have viewed the same API reference page a...
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Posted 4 months ago
Applications closedZaltex Data
Remote
Chicago, United States (UTC-6)
Parking availability is a meaningful driver of where people shop, eat, and run errands. A city neighborhood with unpredictable parking loses foot traf...
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Posted 4 months ago
Applications closedZelux Studio
Remote
London, United Kingdom (UTC+0)
Scope 3 emissions — the indirect emissions in a company's value chain — account for 70% of most companies' carbon footprints. They're also the hardest...
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Posted 4 months ago
Applications closedZenora Labs
Remote
New York, United States (UTC-5)
The same model can score 73% or 81% on the same benchmark depending on whether you use greedy decoding or temperature 0.7 sampling, whether you zero-s...
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Posted 4 months ago
Applications closedTelvion Labs
Remote
New York, United States (UTC-5)
Synthetic data is only useful if it's actually similar enough to real data to train models that generalize to real-world distributions. The field has...
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Posted 4 months ago
Applications closedTolvex Studio
Remote
Chicago, United States (UTC-6)
Media mix modeling used to take 6 weeks to run and required a statistician to interpret. Modern approaches can run in hours and surface actionable all...
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Posted 4 months ago
Applications closedTrivon Data
Remote
Chicago, United States (UTC-6)
When a 24-year-old NBA player posts his best statistical season, is he entering his prime or having a career year? When a pitcher's velocity drops 2mp...
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Posted 4 months ago
Applications closedTuvex Solutions
Remote
New York, United States (UTC-5)
Every support team has the same problem: customers ask questions the knowledge base doesn't answer, so tickets go to human agents who answer from memo...
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Posted 4 months ago
Applications closedValtrix Solutions
Remote
Chicago, United States (UTC-6)
A property valuation that doesn't account for neighborhood amenities is incomplete. The same 3-bedroom house commands a 22% price premium if it's walk...
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Posted 4 months ago
Applications closedVelmox Data
Remote
New York, United States (UTC-5)
Data drift monitoring typically focuses on distribution shifts: has the statistical distribution of input feature X changed? That's necessary but not...
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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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