Data Scientist - (Controlling Furnance)
Capgemini
Data Scientist - (Controlling Furnance)
Job Description
Data Scientist - (Controlling Furnance)
📋 Job Overview
The Data Scientist role at Capgemini focuses on leveraging data analytics to optimize controlling furnace processes in an industrial setting. The position involves developing predictive models and insights to enhance operational efficiency and decision-making. This is an opportunity to apply advanced data science techniques in a manufacturing context.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and deploy machine learning models for furnace optimization
- Analyze large datasets from sensors and production logs to identify inefficiencies
- Collaborate with engineering teams to implement data-driven solutions
- Create dashboards and reports for stakeholders on process performance
- Conduct A/B testing and validate model accuracy in real-time environments
✅ Required Qualifications
- Master's degree in Data Science, Computer Science, Statistics, or related field
- 3+ years of experience in data science roles, preferably in manufacturing or industrial sectors
- Strong background in statistical analysis and machine learning
⭐ Preferred Qualifications
- Experience with furnace control systems or industrial IoT
- PhD in a quantitative discipline
- Certifications in Python, AWS, or Azure
🛠️ Required Skills
- Python, R for data analysis
- Machine learning frameworks (Scikit-learn, TensorFlow)
- SQL and big data tools (Hadoop, Spark)
- Statistical modeling and predictive analytics
- Data visualization (Tableau, Power BI)
- Problem-solving and communication skills
- Knowledge of industrial processes and safety standards
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Comprehensive health insurance and wellness programs
- Flexible work arrangements and remote options
- Professional development opportunities and training
- Employee stock purchase plan and retirement benefits
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python, R for data analysisintermediate
- Machine learning frameworks (Scikit-learn, TensorFlow)intermediate
- SQL and big data tools (Hadoop, Spark)intermediate
- Statistical modeling and predictive analyticsintermediate
- Data visualization (Tableau, Power BI)intermediate
- Problem-solving and communication skillsintermediate
- Knowledge of industrial processes and safety standardsintermediate
Required Qualifications
- Master's degree in Data Science, Computer Science, Statistics, or related field (experience)
- 3+ years of experience in data science roles, preferably in manufacturing or industrial sectors (experience)
- Strong background in statistical analysis and machine learning (experience)
Preferred Qualifications
- Experience with furnace control systems or industrial IoT (experience)
- PhD in a quantitative discipline (experience)
- Certifications in Python, AWS, or Azure (experience)
Responsibilities
- Develop and deploy machine learning models for furnace optimization
- Analyze large datasets from sensors and production logs to identify inefficiencies
- Collaborate with engineering teams to implement data-driven solutions
- Create dashboards and reports for stakeholders on process performance
- Conduct A/B testing and validate model accuracy in real-time environments
Benefits
- general: Competitive salary and performance bonuses
- general: Comprehensive health insurance and wellness programs
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and training
- general: Employee stock purchase plan and retirement benefits
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist - (Controlling Furnance) @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Data Scientist - (Controlling Furnance)
Capgemini
Data Scientist - (Controlling Furnance)
Job Description
Data Scientist - (Controlling Furnance)
📋 Job Overview
The Data Scientist role at Capgemini focuses on leveraging data analytics to optimize controlling furnace processes in an industrial setting. The position involves developing predictive models and insights to enhance operational efficiency and decision-making. This is an opportunity to apply advanced data science techniques in a manufacturing context.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and deploy machine learning models for furnace optimization
- Analyze large datasets from sensors and production logs to identify inefficiencies
- Collaborate with engineering teams to implement data-driven solutions
- Create dashboards and reports for stakeholders on process performance
- Conduct A/B testing and validate model accuracy in real-time environments
✅ Required Qualifications
- Master's degree in Data Science, Computer Science, Statistics, or related field
- 3+ years of experience in data science roles, preferably in manufacturing or industrial sectors
- Strong background in statistical analysis and machine learning
⭐ Preferred Qualifications
- Experience with furnace control systems or industrial IoT
- PhD in a quantitative discipline
- Certifications in Python, AWS, or Azure
🛠️ Required Skills
- Python, R for data analysis
- Machine learning frameworks (Scikit-learn, TensorFlow)
- SQL and big data tools (Hadoop, Spark)
- Statistical modeling and predictive analytics
- Data visualization (Tableau, Power BI)
- Problem-solving and communication skills
- Knowledge of industrial processes and safety standards
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Comprehensive health insurance and wellness programs
- Flexible work arrangements and remote options
- Professional development opportunities and training
- Employee stock purchase plan and retirement benefits
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python, R for data analysisintermediate
- Machine learning frameworks (Scikit-learn, TensorFlow)intermediate
- SQL and big data tools (Hadoop, Spark)intermediate
- Statistical modeling and predictive analyticsintermediate
- Data visualization (Tableau, Power BI)intermediate
- Problem-solving and communication skillsintermediate
- Knowledge of industrial processes and safety standardsintermediate
Required Qualifications
- Master's degree in Data Science, Computer Science, Statistics, or related field (experience)
- 3+ years of experience in data science roles, preferably in manufacturing or industrial sectors (experience)
- Strong background in statistical analysis and machine learning (experience)
Preferred Qualifications
- Experience with furnace control systems or industrial IoT (experience)
- PhD in a quantitative discipline (experience)
- Certifications in Python, AWS, or Azure (experience)
Responsibilities
- Develop and deploy machine learning models for furnace optimization
- Analyze large datasets from sensors and production logs to identify inefficiencies
- Collaborate with engineering teams to implement data-driven solutions
- Create dashboards and reports for stakeholders on process performance
- Conduct A/B testing and validate model accuracy in real-time environments
Benefits
- general: Competitive salary and performance bonuses
- general: Comprehensive health insurance and wellness programs
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and training
- general: Employee stock purchase plan and retirement benefits
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist - (Controlling Furnance) @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs