Data Scientist - Regression Analysis

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.