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Remote Data Mining Jobs in New York (NOW HIRING)

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 ...

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 ...

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 ...

Dlapiper

Data Scientist

Short Hills, NJ · On-site +1

... mining techniques, etc. * Experience with most or all of the following basic data science tools ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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 ...

Dlapiper

Data Scientist

New York, NY · On-site +1

... mining techniques, etc. * Experience with most or all of the following basic data science tools ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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 ...

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 ...

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 ...

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All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in New York

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 31, 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.

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.

How do you 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 degrees, can improve your chances of securing a remote position in this field.

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 5% Internship, 86% Full Time, and 9% Part Time. Highlights an 100% Remote job distribution, with an average salary of $180,535 per year, or $86.8 per hour.

Sr. Data Researcher || 100% REMOTE

GD Resources LLC

Manhattan, NY • On-site, Remote

$140K - $160K/yr

Full-time

Posted 18 days ago

Job description

Job Title - Sr. Data Researcher
Location - 100% REMOTE
Base Salary - $140,000 - $160,000
JOB #. 83483208
Industry: Education / Training / Libraries
Job Category: Information Technology - Business Intelligence
*** Client Screening Questions ***
1- Do you have Ph. D?
2- Do you have background in relational databases, big data systems, and data analytic systems?
3- Are you familiar with git and project management tools, such as JIRA ?
Ideal Candidate
PhD in Computer Science, or similar fields
Background in relational databases, big data systems, and data analytic systems
Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science
Job Details:
We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems' concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.
Key Responsibilities:
Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration and schema matching.
Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio and video.
Create distributed data processing architectures that leverage "compute at the edge" to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
Work with GEIS researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.

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