Data Mining Engineer / Manager

Veriipro; Town of Florida (NY); On-site; USD 70,000 - 100,000; Full time

Job summary

Veriipro is seeking a data analyst in the Town of Florida, NY, to analyze structured and semi-structured data and build predictive models. The ideal candidate will have strong skills in data mining, SQL, and hands-on experience with Python or R.

The role will involve collaborating with data teams, developing dashboards for stakeholders, and ensuring data quality and compliance. Knowledge in the BFSI domain and familiarity with tools like Power BI and Tableau are preferred.

Qualifications

• Strong experience in data mining and statistical analysis.
• Proficiency in SQL and hands-on experience with Python and/or R.
• Knowledge of ML algorithms like regression and clustering.

Responsibilities

• Analyze structured and semi-structured data to identify patterns.
• Build and validate predictive/analytical models.
• Translate business problems into analytical solutions.

Skills

Data mining

Statistical analysis

SQL proficiency

Python

R

ML algorithms

Visualization tools

Analytical skills

Tools

Power BI

Tableau

Spark

Hadoop

GCP

Job description

Roles and Responsibilities

• Analyze structured and semi-structured data to identify patterns and trends
• Apply data mining techniques (clustering, classification, association rules, anomaly detection)
• Build and validate predictive/analytical models
• Perform data cleaning, transformation, and feature engineering
• Translate business problems into analytical solutions
• Collaborate with data engineering/data science teams
• Develop dashboards and reports for stakeholders
• Ensure data quality, governance, and compliance
• Apply AI/ML techniques for enhanced insights

Required Skills

• Strong experience in data mining and statistical analysis
• Proficiency in SQL
• Hands‑on experience with Python and/or R
• Knowledge of ML algorithms (regression, decision trees, clustering, etc.)
• Experience with large datasets in enterprise environments
• Familiarity with visualization tools (Power BI, Tableau)
• Strong analytical and problem‑solving skills

Preferred Skills

• BFSI domain experience (risk, fraud, customer analytics)
• Exposure to Spark/Hadoop
• Experience with AI/GenAI‑based analytics
• Familiarity with GCP
• Knowledge of data governance and regulatory standards