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Remote Machine Learning Quant Jobs in Hempstead, NY

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 ... Strong knowledge of programming languages with a focus on machine learning and advanced analytics ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

Perform other duties, as needed Qualifications: * 5+ years of experience in Quantitative Analysis ... Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work

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All JobsMachine Learning Quant JobsRemote Machine Learning Quant JobsRemote Machine Learning Quant Jobs in Hempstead, NY

Remote Machine Learning Quant information

See Hempstead, NY salary details

$11.4K

$134.8K

$205.9K

How much do remote machine learning quant jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote machine learning quant in Hempstead, NY is $134,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What job categories do people searching Remote Machine Learning Quant jobs in Hempstead, NY look for? The top searched job categories for Remote Machine Learning Quant jobs in Hempstead, NY are:
What cities near Hempstead, NY are hiring for Remote Machine Learning Quant jobs? Cities near Hempstead, NY with the most Remote Machine Learning Quant job openings:
Remote Machine Learning Quant jobs near you
Infographic showing various Remote Machine Learning Quant job openings in Hempstead, NY as of August 2026, with employment types broken down into 60% Full Time, 14% Part Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $134,843 per year, or $64.8 per hour.

Data Scientist

Precision Technologies Corp

New York, NY • Remote

$130K - $135K/yr

Full-time

Re-posted 15 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