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Remote Data Mining Jobs in Reading, MA (NOW HIRING)

Dlapiper

Data Scientist

Boston, MA · 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 ...

YO AI Labs

Data Privacy Analyst - Remote

Boston, MA · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

YO AI Labs

Data Privacy Analyst - Remote

Boston, MA · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Motional

Staff Front End Engineer

Boston, MA · On-site +1

$172K - $229K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motional

Staff Front End Engineer

Boston, MA · On-site +1

$172K - $229K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Manulife

Data Engineer

Boston, MA · Remote

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... This position is eligible for fully remote work from any location in the United States. Minimum ...

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Remote Data Mining information

See Reading, MA salary details

$48.5K

$174.1K

$256.9K

How much do remote data mining jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data mining in Reading, MA is $174,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,900.00 and $179,400.00 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 job categories do people searching Remote Data Mining jobs in Reading, MA look for?

The top searched job categories for Remote Data Mining jobs in Reading, MA are:

What cities near Reading, MA are hiring for Remote Data Mining jobs?

Cities near Reading, MA with the most Remote Data Mining job openings:

Remote Data Mining jobs near you

Programmer / Data Analyst Consultant - Remote

Boston, MA • Remote

Jobsultant Solutions
See more jobs at Jobsultant Solutionsexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the job Programmer / Data Analyst Consultant - Remote What you'll do; Partner with leadership and various cross‐functional teams, including engineering, finance, and product, to identify, define, and track key metrics to be used in monitoring, planning, and one‐off decision‐making. Collaborate with all teams on tools and data access required to support the effective development of reporting and analysis. Clean and transform data from multiple sources as needed for analysis and deliver actionable information.

Develop insightful business intelligence reports (KPIs, metrics), dashboards, scorecards, and/or ad‐hoc analyses that are repeatable and scalable. Take initiative and assume ownership of processes and deliverables. Analyze pricing data from industry standards, previous sales trends and competitors and report data to decision makers. Applying statistical modeling methods to determine the potential impact of pricing strategies on profitability.

Forecasting revenue and market share based on market trends, production costs, profit margins, and sales volumes. Developing dynamic tools to effectively respond to changing market needs and trends. Provide insight on data trends and anomalies, making recommendations where appropriate to improve business performance. Generate and communicate findings to all stakeholders regarding key takeaways and actionable insights.

What you'll bring; 2+ years of relevant work experience in a role requiring the application of data and analytics to business problems. High proficiency using Microsoft Excel, including use of pivot tables, formulas, macros, charts/graphs. Expertise with data manipulation languages, such as SQL. Experience with data visualization tools (e.g., Looker or Tableau) and building dashboards. Experience performance tuning of BI queries, data modeling, and data mining from multiple sources.

Strong problem solving and analytical skills to quickly analyze data to identify key insights and translate them into BI reporting and analysis solutions. Excellent written and verbal skills with the ability to present strong data‐driven storylines to both business and technical audiences at all levels of the organization. Ability to manage multiple priorities concurrently, and initiate and drive projects to completion with minimal guidance. Effective listening skills with demonstrated ability to build feedback loops.

Bachelor's Degree in an analytical field (Computer Science, Engineering, Information Systems, Mathematics, Statistics); or equivalent work experience. Bonus If: Possess a habit of checking the accuracy of data and analysis several times over before submitting it for review. Significant expertise and love of financial modeling and setting up automated processes to increase the effectiveness of the team and minimize room for error. Incessantly curious and who love creating insights out of ambiguity.

Excellent attention to detail and experience debugging code We are a rapidly growing organization transforming the field of critical event management and need passionate, committed and determined individuals to help us carry out our mission. Our environment is dynamic, and our culture is constantly evolving and expanding in order to provide the best employee experience.

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