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.