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Remote Python Data Analysis Jobs in Red Bank, NJ

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... advanced analytics (such as Python, R, Scala) * Experience working with large datasets, data ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Strong SQL skills for data extraction and analysis * Experience building dashboards using Tableau ...

Summus Global

Data Analyst

New York, NY · On-site +1

This is a remote position, however if you are located in the NYC area, you will have the ... Strong SQL and Python skills, experience with AI is a plus * Strong interest in the power of data ...

Alpaca

Data Analyst

New York, NY · On-site +1

Python & Notebook Proficiency. Comfortable using SQL as the primary analysis tool, with the ability ... data infrastructure and business operations. * Domain Agility. A strong desire to quickly learn the ...

Recidiviz

Data Analyst

New York, NY · On-site +1

$97K/yr

Remote, New York City, or Oakland, CA * Travel is encouraged approximately once every 6 months to ... High familiarity with Python, specifically Pandas package, for tasks such as statistical analysis ...

Mercor

Junior Investment Analyst - Remote

New York, NY · Remote

$105/hr

Remote Commitment: 10-20 hours/week Role Responsibilities * Conduct equity and macroeconomic ... Experience with data analysis tools ( Python , SQL ). Application Process (Takes 20-30 mins to ...

BCForward

Data Analyst

New York, NY · Remote

$30 - $42/hr

Remote Contract Role Job Summary We are seeking a detail-oriented Data Analyst to support a short-term contract focused on building and maintaining an external workforce master dataset. This role ...

iCapital

Data Analytics - Associate

New York, NY · On-site +1

$110K - $150K/yr

Write Python and SQL (in dbt) to extract, transform, validate, and aggregate data. * Conduct exploratory data analyses, build machine learning models and develop ML infra in Jupyter and Python.

Twin Health

Lead Data Analyst

New York, NY · On-site +1

$130K - $140K/yr

Lead the Design and Analysis of A/B Tests and quasi-experiments focused on operational improvements ... Advanced skills in SQL and statistical programming (Python or R). Must have experience building and ...

Man Group

Quant Developer

New York, NY · Remote

The role spans Python data pipelines and analytics platforms serving Discretionary investment teams - equities, credit, and alternatives - alongside Python systems powering Solutions' fund analytics ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

Lead the team through hands-on development by coding in SQL and occasionally Python, creating data ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

CVS Health

Senior Data Scientist

New York, NY · On-site +1

$111K - $222K/yr

Solves complex analytical problems. Duties include: Designs systems that utilize data-oriented ... Hybrid Position: remote work permitted but must live within commuting distance of designated office ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

Lead the team through hands-on development by coding in SQL and occasionally Python, creating data ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

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

As of Jul 3, 2026, the average hourly pay for remote python data analysis in Red Bank, NJ is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $68.32 per hour, depending on experience, location, and employer.
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Remote Python Data Analysis jobs near you
Data Scientist

Data Scientist

Precision Technologies Corp

New York, NY • Remote

$130K - $135K/yr

Full-time

Posted 8 days ago

Job description

Role: Data Scientist

Location: Remote, however travel might be required as per business requirements

FTE Only

Where you’re headed

You’ll creatively use data to solve business challenges, often uncovering new and transformative opportunities along the way. Applying advanced analytics, quantitative tools, and modeling techniques, you’ll interpret and offer recommendations based on insights from the data.

Where you’ve been

You’re a problem solver, data expert, analyst, and communicator, who can create new algorithms from scratch. You have an advanced degree in a quantitative field, such as computer science, engineering, physics, statistics or applied mathematics, and have:

Job Description:

  • Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data analysis
  • Strong knowledge of programming languages with a focus on machine learning and advanced analytics (such as Python, R, Scala)
  • Experience working with large datasets, data pipelines, and relational databases
  • A collaborative mindset with the ability to communicate complex analytical concepts effectively to both technical and non‑technical stakeholders
  • Excellent problem‑solving skills with the ability to analyze issues, identify root causes, and recommend solutions quickly
  • Proven experience building, validating, and deploying machine learning models end‑to‑end in production environments 
  • Strong understanding of model performance evaluation, experiment design, and model lifecycle management 
  • Ability to translate business problems into analytical frameworks and measurable success metrics 
  • Experience working cross‑functionally with engineering, product, and business teams to deliver impact at scale

 

Good to Have:

  • Experience with Generative AI, including large language models (LLMs), prompt engineering, fine‑tuning, and retrieval‑augmented generation (RAG) 
  • Exposure to Agentic AI concepts, such as autonomous agents, tool usage, planning, memory, and multi‑agent workflows 
  • Familiarity with modern ML/AI frameworks (e.g., PyTorch, TensorFlow) and MLOps tools for deployment and monitoring 
  • Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP) with an understanding of scalability and cost considerations 
  • Knowledge of responsible AI practices, including model explainability, bias mitigation, and governance