Data Scientist

Mphasis; Princeton (NJ); Presencial; USD 120 000 - 170 000; Tempo integral

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Regression analysis

Statistics

Python

SQL

Data visualization

Machine learning

Root cause analysis

Anomaly detection

Communication & problem-solving

Ferramentas

Power BI

Tableau

Spark

Snowflake

Databricks

Hadoop

Descrição da oferta de emprego

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