# Data ScientistMphasis CorporationPrinceton, NJOct 06, 2026Information Technology## Job DescriptionData Scientist – Regression AnalysisRole SummaryAnalyze data to identify trends, detect variances, explain root causes, and support defect remediationusing 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. Machinelearning 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 DatabricSuccess 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 detectOther detailsSalary range $80500 to $157500**Equal opportunity Employer:**Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders.