Data Mining developer
Location: Sunrise FL - onsite
Hire Type: Contract
Role Descriptions: We are looking for a Data Mining developer with strong analytical skills to work on large complex datasets and uncover actionable business insights. The role involves applying data mining statistical and machine learning techniques to solve real-world business problems particularly in Banking Financial Services and Insurance (BFSI) domains.
Analyze large structured and semi-structured datasets to identify patterns trends and relationships.
Apply data mining techniques such as clustering classification association rules and anomaly detection.
Build and validate analytical and predictive models to support business decision-making.
Perform data preparation activities including data cleaning transformation and feature engineering.
Collaborate with business stakeholders to translate business problems into analytical use cases.
Work closely with data engineering and data science teams to operationalize insights.
Develop dashboards reports and presentations to communicate insights effectively.
Ensure data quality governance and compliance with enterprise and regulatory standards.
Explore and apply AIML techniques to enhance analytical insights where applicable.
Data Mining developer Location: Sunrise FL - onsite Hire Type: Contract Role Descriptions: We are looking for a Data Mining developer with strong analytical skills to work on large complex datasets and uncover actionable business insights. The role involves applying data mining statistical and ma...
Data Mining developer
Location: Sunrise FL - onsite
Hire Type: Contract
Role Descriptions: We are looking for a Data Mining developer with strong analytical skills to work on large complex datasets and uncover actionable business insights. The role involves applying data mining statistical and machine learning techniques to solve real-world business problems particularly in Banking Financial Services and Insurance (BFSI) domains.
Analyze large structured and semi-structured datasets to identify patterns trends and relationships.
Apply data mining techniques such as clustering classification association rules and anomaly detection.
Build and validate analytical and predictive models to support business decision-making.
Perform data preparation activities including data cleaning transformation and feature engineering.
Collaborate with business stakeholders to translate business problems into analytical use cases.
Work closely with data engineering and data science teams to operationalize insights.
Develop dashboards reports and presentations to communicate insights effectively.
Ensure data quality governance and compliance with enterprise and regulatory standards.
Explore and apply AIML techniques to enhance analytical insights where applicable.
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