Data Insights Specialist
5 days ago
Data mining is an interdisciplinary subfield of data science that combines machine learning, statistics, and computer programming to extract insights from large datasets.
- Key Responsibilities:
- Statistical Analysis: Utilize statistical tools like R-studio and Python to analyze complex data sets.
- Big Data Handling: Leverage big data tools such as Spark, ElasticSearch/OpenSearch, and Kafka to manage and process large data sets.
- Machine Learning: Apply knowledge of machine learning libraries like NumPy, SciPy, and MLlib to develop predictive models.
- Data Mining: Perform data mining and text mining in multiple languages to extract valuable insights.
- Scripting Languages: Proficiency in scripting languages (e.g., R, bash, Python, Perl, Lua) for automating tasks and workflows.
- Visualization Tools: Skilled in data visualization and presentation using various tools to communicate findings effectively.
- Data Set Management: Ability to manage and work within large data sets, ensuring accurate analysis and interpretation.
We are seeking a skilled Data Mining Engineer with excellent analytical skills, strong technical expertise, and the ability to work effectively in a fast-paced environment. The ideal candidate will have hands-on experience with data mining techniques, including data preprocessing, feature engineering, and model evaluation.
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Data Insights Specialist
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Data Insights Specialist
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Data Insights Specialist
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Data Insight Specialist
4 days ago
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Data Insights Specialist
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Data Insights Specialist
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Data Insight Specialist
2 weeks ago
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