Data Scientist – Regression Analysis

Veriipro; Berkeley (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Veriipro in Berkeley, IL is seeking a data analyst/scientist to analyze data, identify trends, explain variances, and support defect remediation using statistical and regression methods. The role focuses on turning data into actionable insights and building predictive models.

You will create dashboards and visualizations to monitor drift, partner with business, QA, and development teams to prioritize fixes, and present findings to stakeholders.

Qualifications

• Strong knowledge of regression analysis and statistics.
• Experience with Python, SQL, Big Data, Hadoop, and data visualization tools.
• Machine learning experience is a plus.
• Ability to analyze large datasets and identify patterns.
• Experience with root cause analysis and anomaly detection.
• Strong communication and problem-solving skills.

Responsibilities

• Analyze data to identify trends, detect variances, explain root causes, and support defect remediation using statistical and regression analysis.
• Build and validate regression models to explain data drift and variances.
• Analyze mismatches between expected and actual results.
• Identify root causes of defects and data quality issues.
• Perform statistical testing and trend analysis.
• Create dashboards, heat maps, and visualizations to monitor drift.
• Develop predictive models to detect issues early.
• Partner with business, QA, and development teams to prioritize fixes.
• Present findings and recommendations to stakeholders.

Skills

Regression analysis

Python

SQL

Big Data

Data visualization

Communication

Tools

Power BI

Tableau

Spark

Snowflake

Databricks

Job description

Analyze data to identify trends, detect variances, explain root causes, and support defect remediation using statistical and regression analysis.

Responsibilities:

• Build and validate regression models to explain data drift and variances.
• Analyze mismatches between expected and actual results.
• Identify root causes of defects and data quality issues.
• Perform statistical testing and trend analysis.
• Create dashboards, heat maps, and visualizations to monitor drift.
• Develop predictive models to detect issues early.
• Partner with business, QA, and development teams to prioritize fixes.
• Present findings and recommendations to stakeholders.

Required Skills:

• Strong knowledge of regression analysis and statistics.
• Experience with Python, SQL, Big Data, Hadoop, and data visualization tools.
• Machine learning experience is a plus.
• Ability to analyze large datasets and identify patterns.
• Experience with root cause analysis and anomaly detection.
• Strong communication and problem-solving skills.

Preferred Experience

• Financial services or payments experience.
• Data reconciliation and validation.
• Drift monitoring and predictive analytics.
• Power BI, Tableau, Spark, Snowflake, or Databric

Success Measures

• Faster defect diagnosis.
• Earlier detection of drift.
• Improved validation accuracy.
• Reduced manual analysis effort.
• Faster remediation and resolution of issues.