Data Scientist

Mphasis; Berkeley Heights (NJ); On-site; USD 81,000 - 158,000; Full time

Job summary

Data Scientist – Regression Analysis at Mphasis analyzes data to identify trends, detect variances, explain root causes, and support defect remediation using statistical and regression analysis.

The role includes building regression models, validating results, and creating dashboards to monitor drift while collaborating with business, QA, and development teams to prioritize fixes and present actionable insights to stakeholders.

Qualifications

• Strong knowledge of regression analysis and statistics.
• ,

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.

Skills

Regression analysis

Statistics

Python

SQL

Big Data

Hadoop

Data visualization

Machine learning (nice to have)

Root cause analysis

Anomaly detection

Communication

Problem solving

Tools

Power BI

Tableau

Spark

Snowflake

Databricks

Python

SQL

Big Data

Hadoop

Job description

Analyze data to identify trends, detect variances, explain root causes, and support defect remediation

using statistical and regression analysis.

Key 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.

Success Measures

• Earlier detection of drift.
• Reduced manual analysis effort.

Ideal Candidate:

A data scientist who can use regression analysis, statistical modeling, and data visualization to detect

Role description

Data Scientist – Regression Analysis

Role Summary

Analyze data to identify trends, detect variances, explain root causes, and support defect remediation

using statistical and regression analysis.

Key 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.

Ideal Candidate:

A data scientist who can use regression analysis, statistical modeling, and data visualization to detect

Other details

Salary range $80500 to $157500