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Remote Data Mining Jobs in New York (NOW HIRING)

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 ... Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data ...

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

Location can be remote. As long as the candidate is available to work during EST business hours and ... Data mining and querying * Experience maintaining complex data sets and as well data migration and ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site +1

Data Management and Analysis: - Conducting data mining and analysis exercises and maintaining vital ... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site +1

Data Management and Analysis: - Conducting data mining and analysis exercises and maintaining vital ... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ...

PortPro

Data Scientist

New York, NY · On-site +1

Experience in data mining, statistical modeling, and data visualization tools. * Proficiency in programming languages such as Python, R, SQL, and Node.js. * Experience working with Amazon AWS ...

PortPro

Data Scientist

New York, NY · Remote

Experience in data mining, statistical modeling, and data visualization tools. * Proficiency in programming languages such as Python, R, SQL, and Node.js. * Experience working with Amazon AWS ...

Humana

Lead Data Scientist

New York, NY · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

New York, NY · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

SysMind Tech

Senior Cloud Data Engineer

Manhattan, NY · On-site +1

$116K - $158K/yr

This role will be remote without any travel required. The ideal candidate will be available during ... Technical expertise with data models, data mining, and segmentation techniques * Knowledge of ...

Meta

Data Scientist (Technical Leadership)

New York, NY · On-site +1

$210K/yr

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

MM International

Data Analyst - Remote

New York, NY · Remote

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

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Remote Data Mining information

See New York salary details

$50.3K

$180.5K

$266.4K

How much do remote data mining jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data mining in New York is $180,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $186,000.00 per year, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

How do I become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or a degree in a related field, can improve your prospects for remote work in this role.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

What are the most commonly searched types of Data Mining jobs in New York? The most popular types of Data Mining jobs in New York are:
What are popular job titles related to Remote Data Mining jobs in New York? For Remote Data Mining jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Mining jobs in New York look for? The top searched job categories for Remote Data Mining jobs in New York are:
What cities in New York are hiring for Remote Data Mining jobs? Cities in New York with the most Remote Data Mining job openings:
Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $180,535 per year, or $86.8 per hour.

Data Scientist

Precision Technologies Corp

New York, NY • Remote

$130K - $135K/yr

Full-time

Re-posted 16 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