What are the responsibilities and job description for the Data Scientist Regression Analysis position at MphasiS Corporation USA?
Data Scientist Regression Analysis
Location: Berkeley Heights, NJ (5days Onsite)
Contract
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.
- Faster remediation and resolution of issues.
Ideal Candidate: A data scientist who can use regression analysis, statistical modeling, and data visualization to detect drift, explain variances, identify root causes, and help teams resolve defects faster.
Salary : $60 - $75