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Data Mining Online Jobs (NOW HIRING)

2245 Data Engineer III

Cincinnati, OH

$109K - $132K/yr

Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used. Primary Responsibilities: * Design, construct, install, test and ...

Data Scientist III

San Diego, CA · On-site

$125K - $207K/yr

Typical responsibilities include applying data mining, modeling, natural language processing, and machine learning methods to analyze large structured and unstructured datasets; visualizing ...

Typical responsibilities include applying data mining, modeling, natural language processing, and machine learning methods to analyze large structured and unstructured datasets; visualizing ...

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. * Selecting features, building ...

Responsibilities : • Apply data mining, modeling, NLP, and machine learning to large datasets • Visualize, interpret, and report data findings • Create dynamic and automated reporting products ...

Required Skills: 1) Data Analysis / Modeling. 2) Data mining. 3) Segmentation techniques, statistical analysis. 4) Reporting. 5) Very Large Data Set manipulation. Qualifications Required Skills: 1) ...

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. * Selecting features, building ...

Showing results 41-60

Data Mining Online information

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 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 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.

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.

How do I become a data mining online?

To become a data miner online, you should develop skills in data analysis, programming languages like Python or R, and familiarity with data mining tools such as RapidMiner or Weka. Gaining knowledge of databases, machine learning, and data visualization can also enhance your qualifications, and completing relevant certifications can improve job prospects.
More about Data Mining Online jobs
What cities are hiring for Data Mining Online jobs? Cities with the most Data Mining Online job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Data Mining Online jobs? States with the most job openings for Data Mining Online jobs include:
What job categories do people searching Data Mining Online jobs look for? The top searched job categories for Data Mining Online jobs are:
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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Local Intent Data Mining Specialist

NewsBreak

Mountain View, CA • On-site

$112K - $293K/yr

Full-time

Re-posted 21 days ago


Job description

About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about
About the role
You will build the systems that understand what local consumers actually want - turning raw queries, behavior, and context into structured intent. This means query understanding, user-intent classification, semantic search, and the intent taxonomies and interest graphs that power discovery across local categories. You will bring LLMs into production, not the lab, to make local search and recommendations genuinely understand consumer intent.
What you'll do
  • Build query-understanding, user-intent classification, and semantic-search models for local consumer demand.
  • Design and grow intent taxonomies and interest graphs over local categories and merchants.
  • Ship LLM-powered features into production for search and recommendations at consumer scale.
  • Work with embeddings, retrieval, and NLU to connect messy consumer language to local supply.
  • Define metrics and run experiments that tie intent quality to downstream conversion.
What we're looking for
  • 5+ years as an Applied Scientist or ML Engineer on query understanding, intent, semantic search, or NLU.
  • Production experience shipping models that serve real users - not purely offline or research work.
  • Hands-on with embeddings, semantic search, intent classification, taxonomy, or interest-graph construction.
  • Experience bringing LLMs into production systems.
  • Comfort working at consumer-internet data scale.
Nice to have
  • Background at Google Search / Ads quality, Meta, TikTok, Pinterest, DoorDash, Instacart, Amazon Search/Alexa, or Apple.
  • Built a user-intent taxonomy or interest graph at a consumer internet company.
  • Consumer-intent or personalization work specifically at a local platform (DoorDash, Instacart).

The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$112,000-$293,000 USD
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