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Remote Python Data Analysis Jobs in Miami Beach, FL

Advanced Python skills and strong SQL capability for large-scale data analysis * A solid ... Please do not apply if you are looking for a contract or remote work * Please ensure you meet the ...

Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

This position sits in our Enterprise Data and Analytics team, which aims to drive improved business ... SQL, Python * Data governance, security, and compliance concepts * Data Ingestion * Incremental and ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

This role requires deep expertise in data analysis, data modeling, and the design of complex ELT ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud ...

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How much do remote python data analysis jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for remote python data analysis in Miami Beach, FL is $57.89, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.77 per hour, depending on experience, location, and employer.
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Alternative Data Scientist

Thurn Partners

Miami, FL • On-site, Remote

Other

Posted 21 days ago


Job description

Company Insight:

A leading global trading firm is expanding its alternative data initiative and is seeking an experienced Data Scientist to help drive the next phase of signal discovery and deployment. Sitting at the intersection of quantitative research and live trading, you’ll work with datasets that are large, messy and unstructured - using rigorous analytical methods to determine what is predictive, what scales, and what ultimately makes it into production.


The team operates in a research-driven environment with fast feedback loops, close proximity to trading, and a strong emphasis on measurable impact rather than theoretical modelling.


The Role:

  • Evaluate and analyse a wide range of alternative datasets (transactional, behavioural, geospatial, web-derived, etc.) to identify potential trading signals
  • Design and run experiments to assess data quality, stability, coverage and predictive power
  • Build statistical and machine learning models to transform raw alternative data into usable features and signals
  • Develop robust analytical frameworks to monitor signal decay, bias and performance over time
  • Communicate findings clearly to quantitative researchers and key stakeholders, influencing research and trading priorities


Experience/Skills Required:

  • A strong academic background in a quantitative field from a top-tier university
  • 2–5 years of experience in a data science or research role within a hedge fund, market maker, or investment bank
  • Demonstrated experience working with alternative data and assessing its real-world usefulness
  • Advanced Python skills and strong SQL capability for large-scale data analysis
  • A solid understanding of statistics, experimentation, and applied machine learning in noisy environments


Pre-Application:

  • Please do not apply if you are looking for a contract or remote work
  • Please ensure you meet the required experience section prior to applying
  • Allow 1-5 working days for a response to any job enquiry