Data Mining Developer

Request ID: 68425-1

Title: Data Mining Developer
Locations: Sunrise, FL
Duration: 6 Months

Salary Range: $43 - $47/Hour on W2 (All inclusive)

Introduction

We are seeking a skilled professional 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.

Required Skills & Qualifications

• Strong experience in data mining and statistical analysis on large datasets.
• Proficiency in SQL for data extraction and analysis.
• Hands-on experience with Python and/or R for data analysis and modeling.
• Knowledge of data mining and ML algorithms (e.g., decision trees, random forest, regression, clustering).
• Experience with data visualization tools (Power BI, Tableau, or similar).
• Strong analytical thinking and problem-solving skills.
• Ability to work with large datasets in enterprise environments.
• Prior work experience at client or in client's Industry.

Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

• Experience in BFSI domain (banking, cards, risk, fraud, customer analytics).
• Exposure to Big Data technologies (Spark, Hadoop).
• Experience with AI-driven analytics or GenAI-based insight generation.
• Familiarity with cloud platforms (GCP).
• Understanding of data governance, privacy, and regulatory requirements.

Day-to-Day Responsibilities

• 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 AI/ML techniques to enhance analytical insights where applicable.

Company Benefits & Culture

• Comprehensive health insurance plans.
• Opportunities for professional development and growth.
• Inclusive and collaborative work environment.

For immediate consideration please click APPLY to begin the screening process with Alex.