What are the responsibilities and job description for the Junior Data Consultant Job in Jersey City, United States position at Virtusa?
As a Data Scientist at, you will play a pivotal role in analyzing and interpreting complex data sets to guide business decisions and strategies. You will collaborate with cross-functional teams to identify opportunities, develop predictive models, and deliver insights that drive business success.
Data Analysis: Gather, clean, and examine large data sets to uncover trends, patterns, and insights.
Model Development: Create, implement, and validate predictive and prescriptive models using statistical and machine learning methods.
Data Visualization: Design engaging visualizations and dashboards to clearly present findings to non-technical audiences.
Tool Utilization: Employ tools and technologies such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI) for analysis and results presentation.
Reporting: Generate comprehensive reports and presentations outlining analytical results and recommendations.
Technical Skills:
Expertise in programming languages like Python and/or R.
Extensive experience with SQL and database management.
Proficiency in data visualization tools such as Tableau, Power BI, or similar.
Knowledge of machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, Keras).As a Data Scientist at, you will play a pivotal role in analyzing and interpreting complex data sets to guide business decisions and strategies. You will collaborate with cross-functional teams to identify opportunities, develop predictive models, and deliver insights that drive business success.
Data Analysis: Gather, clean, and examine large data sets to uncover trends, patterns, and insights.
Model Development: Create, implement, and validate predictive and prescriptive models using statistical and machine learning methods.
Data Visualization: Design engaging visualizations and dashboards to clearly present findings to non-technical audiences.
Tool Utilization: Employ tools and technologies such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI) for analysis and results presentation.
Reporting: Generate comprehensive reports and presentations outlining analytical results and recommendations.
Technical Skills:
Expertise in programming languages like Python and/or R.
Extensive experience with SQL and database management.
Proficiency in data visualization tools such as Tableau, Power BI, or similar.
Knowledge of machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, Keras).
Data Analysis: Gather, clean, and examine large data sets to uncover trends, patterns, and insights.
Model Development: Create, implement, and validate predictive and prescriptive models using statistical and machine learning methods.
Data Visualization: Design engaging visualizations and dashboards to clearly present findings to non-technical audiences.
Tool Utilization: Employ tools and technologies such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI) for analysis and results presentation.
Reporting: Generate comprehensive reports and presentations outlining analytical results and recommendations.
Technical Skills:
Expertise in programming languages like Python and/or R.
Extensive experience with SQL and database management.
Proficiency in data visualization tools such as Tableau, Power BI, or similar.
Knowledge of machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, Keras).As a Data Scientist at, you will play a pivotal role in analyzing and interpreting complex data sets to guide business decisions and strategies. You will collaborate with cross-functional teams to identify opportunities, develop predictive models, and deliver insights that drive business success.
Data Analysis: Gather, clean, and examine large data sets to uncover trends, patterns, and insights.
Model Development: Create, implement, and validate predictive and prescriptive models using statistical and machine learning methods.
Data Visualization: Design engaging visualizations and dashboards to clearly present findings to non-technical audiences.
Tool Utilization: Employ tools and technologies such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI) for analysis and results presentation.
Reporting: Generate comprehensive reports and presentations outlining analytical results and recommendations.
Technical Skills:
Expertise in programming languages like Python and/or R.
Extensive experience with SQL and database management.
Proficiency in data visualization tools such as Tableau, Power BI, or similar.
Knowledge of machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, Keras).
Benefits:
Technology, Digital, Cloud and Infrastructure, Technology and Engineering, Delivery Management, Service Delivery Management, Sales and Marketing, Corporate, PMO, Data Strategy & Consulting, Cloud Application Engineering, Functional Consulting, Enterprise Apps, Program Management, Security, Oracle, Mobile App Engineering, Portfolio Management, Telco, Device Assurance, Project Management, Data Management, SAP, Intelligent Automation, AWS, ServiceNow, Pega, Customer Experience, Mainframe Apps, Cloud Operations, Digital Engineering, Experience Design, Data Governance, Azure, Other CRM and EAS packages, Salesforce, Business intelligence., SRE & Observability, GCP, Automation Support, Core Tech .NET, Emerging Tech, DevOps, Insurance, Platform Assurance, AI/ML, Data Testing and Validation, Functional programming, Business Analysis, Data Platforms, Non-Functional Assurance, Application Maintenance and support, EAI Middleware, Others, Banking & Financial Services, Other BPM, Infrastructure Maintenance and support, Data Integration, Web App Engineering, KPO, Digital Quality Assurance, Core Tech Java
