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Data Mining Online Jobs (NOW HIRING)

Machinify

DMG Data Mining Analyst II

$90K - $140K/yr

As part of the Data Mining Group team, your role will require in-depth technical expertise in extracting hidden patterns and insights from large, complex datasets using advanced algorithms and data ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ...

Machinify

DMG Data Mining Analyst II

$90K - $140K/yr

As part of the Data Mining Group team, your role will require in-depth technical expertise in extracting hidden patterns and insights from large, complex datasets using advanced algorithms and data ...

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

Use data mining and machine learning techniques to develop robust models in areas such as ... Prior experience in eCommerce or Online Retail. PROPRIUS is an AI Industry recruiting firm. We're ...

Mindlance

Data Scientist

San Francisco, CA · On-site

Responsibilities : • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques such as ...

Mindlance

Data Scientist

San Francisco, CA · On-site

Responsibilities : • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques such as ...

Jobtailor

Senior Data Scientist, Level 5

California, MO · On-site

$140 - $190/hr

* Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver ... Experience in a product-focused role at a social media, online advertising, digital media and/or ...

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Data Mining Online information

What is data mining in an online context?

Data mining online refers to the process of using algorithms and statistical methods to analyze large sets of digital data collected from the internet, such as website activity, social media interactions, or online transactions. The goal is to discover patterns, trends, and useful information that can help businesses make informed decisions, improve customer experiences, or detect fraud. Online data mining often involves the use of specialized software and tools to extract and process data from various online sources efficiently.

What are some common challenges faced by professionals working in data mining online, and how can they be addressed?

Professionals in online data mining often encounter challenges such as handling large, unstructured datasets and ensuring data privacy and security. Working remotely, they must also stay updated with rapidly evolving tools and algorithms. Effective solutions include leveraging cloud-based platforms for scalable processing, collaborating closely with IT and data security teams, and participating in regular upskilling through webinars and online courses to maintain technical proficiency.

What are the key skills and qualifications needed to thrive as a data mining specialist, and why are they important?

To thrive as a Data Mining Specialist, you need strong analytical skills, a solid background in statistics, and proficiency in programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with data mining tools such as RapidMiner, Weka, or SAS, as well as database management systems and machine learning frameworks, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and present actionable insights to stakeholders. These skills and qualities are crucial for extracting valuable patterns from large datasets and driving data-driven decision-making in organizations.

What is the difference between Data Mining Online vs Data Analyst?

AspectData Mining OnlineData Analyst
Required CredentialsBachelor's in CS, Statistics, or related; certifications like Certified Data Mining SpecialistBachelor's in Data Science, Statistics, or related; often similar certifications
Work EnvironmentPrimarily remote, project-based, often freelance or contractOffice or remote, ongoing analysis roles within organizations
Industry UsageUsed across tech, e-commerce, marketing for extracting insights from online dataUsed in finance, healthcare, marketing for interpreting data trends

Data Mining Online focuses on extracting patterns from online data sources, often in a freelance or remote setting. Data Analysts interpret data within organizations to inform decisions. While both roles require similar skills and credentials, Data Mining Online emphasizes online data sources and often involves project-based work, whereas Data Analysts typically work within a company's data team on ongoing analysis.

How do you become a data mining online?

To become a data miner online, you typically need a background in data analysis, statistics, or computer science, along with skills in programming languages like Python or R. Gaining experience with data mining tools and techniques, completing relevant online courses or certifications, and building a portfolio of projects can help establish expertise in the field.
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What are the most commonly searched types of Data Mining jobs?

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Data Mining Online jobs near you
Infographic showing various Data Mining Online job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

DMG Data Mining Analyst II

Machinify

Remote

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Job description

About the Opportunity

At Machinify, we're constantly reimagining what's possible in our industry-creating disruptively simple, powerfully clear ways to maximize our clients' financial outcomes today and drive down healthcare costs tomorrow. As part of the Data Mining Group team, your role will require in-depth technical expertise in extracting hidden patterns and insights from large, complex datasets using advanced algorithms and data mining techniques. In this position, you will lead small projects, creating and maintaining comprehensive reports and visualizations that drive actionable insights. You will collaborate closely with other departments to ensure that data-driven solutions align with business objectives.

Your responsibilities will also include designing and refining data processes and procedures, ensuring continuous improvement in data mining operations. Working with over $600 billion in medical data annually, you will contribute to examining, interpreting, and visualizing trends in healthcare data, directly impacting business strategy and operational efficiencies. This role offers opportunities to innovate and take ownership of complex data-driven projects within a collaborative, forward-thinking team environment that fosters creative problem-solving.

What you'll do

  • Examine, interpret, and visualize trends in medical data to generate actionable insights that support new business processes and refine existing ones.
  • Create, Execute, maintain, and monitor SQL queries efficiently to meet business objectives.
  • Data optimization within big data environments by analyzing query execution plans, indexing large-scale datasets, and implementing data normalization/denormalization strategies to reduce latency and improve overall system efficiency
  • Continuously evaluate and enhance data mining and enrichment processes, developing tools and programs to identify new opportunities.
  • Lead and manage small data projects, ensuring timely and successful delivery.
  • Work closely with other departments to align data insights with organizational goals.

What experience you bring (Role Requirements)

  • Bachelor's degree in business, technology, or a related field.
  • Minimum of five years' expert experience with Microsoft SQL.
  • Experience with medical and pharmacy claims strongly preferred.
  • Advanced-level proficiency in Microsoft Excel.
  • SQL experience in a Big Data environment.
  • Ability to proactively develop innovative solutions while balancing multiple tasks.
  • Strong analytical skills with the ability to work in a high-performing, collaborative environment.

Preferred Experience

  • Database administration, database development (non-ETL)
  • Data warehousing experience
  • Query optimization
  • Experience with healthcare data highly desired.

 What We Offer

  • Work from anywhere in the US! Machinify is digital-first.
  • Top Medical/Dental/Vision offerings
  • FSA/HSA
  • Tuition reimbursement
  • Competitive salary, 401(k) with company match
  • Additional health and wellness benefits and perks
  • Flexible and trusting environment where you'll feel empowered to do your best work

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc.  We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. 

Pay range: $90,000 - $140,000 

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