Want to hire Data Mining developer? Then you should know!
How and where is Data Mining used?
- Customer Segmentation: Grouping customers based on purchasing behavior
- Fraud Detection: Identifying fraudulent activities in financial transactions
- Market Basket Analysis: Finding associations between products purchased together
- Churn Prediction: Predicting customers likely to stop using a service
- Sentiment Analysis: Analyzing opinions in social media comments
- Recommendation Systems: Suggesting products based on user preferences
- Healthcare Management: Predicting disease outbreaks and patient diagnosis
- Anomaly Detection: Identifying unusual patterns in data for cybersecurity
- Credit Scoring: Assessing the creditworthiness of individuals
- Supply Chain Optimization: Streamlining logistics and inventory management
Compare Junior, Middle, Senior, and Expert/Team Lead Data Mining Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| 50,000 |
Middle | 3-5 years |
| 80,000 |
Senior | 6-8 years |
| 110,000 |
Expert/Team Lead | 9+ years |
| 150,000 |
Quick Facts about Data Mining.
- Data mining software was created in 1989 by Gregory Piatetsky-Shapiro.
- Common project types using this technology include customer segmentation.
- The entry threshold for data mining software is basic knowledge of statistics.
- One of the most popular related technologies is machine learning algorithms.
- Fun Fact: The largest data set ever used for data mining contained 2.2 petabytes!
TOP Data Mining Related Technologies
- RapidMiner
- Weka
- KNIME
- Orange
- SAS
What are top Data Mining instruments and tools?
- RapidMiner: An open-source data science platform released in 2006
- Weka: A collection of machine learning algorithms released in 1993
- KNIME: A platform for data analytics, reporting, and integration released in 2006
- Orange: An open-source data visualization and analysis tool released in 1996
- TensorFlow: An open-source machine learning framework released in 2015
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Maria Lapko
Global Partnership Manager