Data Scientist: Regression, Drift & Predictive Analytics

Kappaalphapsi1911; Princeton (NJ); Hybrid; USD 81,000 - 158,000; Full time

Job summary

Mphasis Corporation in Princeton, NJ is seeking a Data Scientist focused on regression analysis to explain data drift, identify variances, and support defect remediation. You will build and validate models, perform statistical testing, and create dashboards to monitor performance.

You will collaborate with business, QA, and development teams to prioritize fixes and present actionable insights to stakeholders, leveraging Python, SQL, and visualization tools.

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

• 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.

Tools

Python

SQL

Big Data

Hadoop

Spark

Databricks

Power BI

Tableau

Snowflake

Job description

Mphasis Corporation in Princeton, NJ is seeking a Data Scientist focused on regression analysis to explain data drift, identify variances, and support defect remediation. You will build and validate models, perform statistical testing, and create dashboards to monitor performance.

You will collaborate with business, QA, and development teams to prioritize fixes and present actionable insights to stakeholders, leveraging Python, SQL, and visualization tools.