Data Scientist — Drift & Regression Analytics

Mphasis; Princeton (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

Mphasis in New Jersey is seeking a Data Scientist specializing in regression analysis to identify trends, detect data drift, and explain root causes. You will build and validate models, analyze large datasets, and create dashboards to monitor outcomes.

Collaboration with business, QA, and development teams will drive proactive defect remediation and data-driven decisions. Proficiency in Python, SQL, and visualization tools is required; ML experience is a plus.

Qualifications

• Strong knowledge of regression analysis and statistics.
• Experience with Python, SQL, Big Data, Hadoop, and data visualization tools.
• 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.

Skills

Regression analysis

Statistics

Python

SQL

Data visualization

Machine learning

Root cause analysis

Anomaly detection

Communication & problem-solving

Tools

Power BI

Tableau

Spark

Snowflake

Databricks

Hadoop

Job description

Mphasis in New Jersey is seeking a Data Scientist specializing in regression analysis to identify trends, detect data drift, and explain root causes. You will build and validate models, analyze large datasets, and create dashboards to monitor outcomes.

Collaboration with business, QA, and development teams will drive proactive defect remediation and data-driven decisions. Proficiency in Python, SQL, and visualization tools is required; ML experience is a plus.