Data Scientist
IBM
Data Scientist
Job Description
Data Scientist
📋 Job Overview
As a Data Scientist at IBM, you will leverage your expertise in statistical modeling, machine learning, and advanced analytics to solve complex business problems using large-scale datasets and state-of-the-art AI techniques. You will work in IBM Consulting Client Innovation Centers, delivering technical and industry expertise to a global clientele. Your role will focus on analyzing and modeling fuel blending processes using machine learning and optimization techniques.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Analyzing and modeling fuel blending processes using machine learning and optimization techniques
- Developing non-linear algorithms to recommend optimal blend compositions
- Selecting and training AI and machine learning models
- Designing simulation tools to evaluate blending strategies under different scenarios
✅ Required Qualifications
- Experience with machine learning and optimization techniques
- Ability to develop non-linear algorithms for optimization problems
- Knowledge of AI and machine learning models for predictive and prescriptive analytics
- Familiarity with simulation tools and scenario analysis
- Strong analytical and problem-solving skills
⭐ Preferred Qualifications
- Experience with fuel blending processes and industry-specific constraints
- Knowledge of programming languages and software relevant to machine learning and simulation
- Familiarity with data analysis and visualization tools
- Ability to work with cross-functional teams and communicate complex technical concepts
- Experience with cloud-based platforms and big data analytics
🛠️ Required Skills
- Statistical modeling
- Machine learning
- Advanced analytics
- Transformer-based architectures
- Large language models (LLMs)
- Generative AI
- Text summarization
- Content generation
- Intelligent automation
- Non-linear algorithms
- Optimization techniques
- Predictive analytics
- Prescriptive analytics
- Simulation tools
- Scenario analysis
- Analytical skills
- Problem-solving skills
- Programming languages
- Data analysis
- Visualization tools
- Cross-functional teamwork
- Technical communication
- Cloud-based platforms
- Big data analytics
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Flexible working patterns
- Equal-opportunity employment
Locations
- Multiple Locations, India (Remote)
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
- Statistical modelingintermediate
- Machine learningintermediate
- Advanced analyticsintermediate
- Transformer-based architecturesintermediate
- Large language models (LLMs)intermediate
- Generative AIintermediate
- Text summarizationintermediate
- Content generationintermediate
- Intelligent automationintermediate
- Non-linear algorithmsintermediate
- Optimization techniquesintermediate
- Predictive analyticsintermediate
- Prescriptive analyticsintermediate
- Simulation toolsintermediate
- Scenario analysisintermediate
- Analytical skillsintermediate
- Problem-solving skillsintermediate
- Programming languagesintermediate
- Data analysisintermediate
- Visualization toolsintermediate
- Cross-functional teamworkintermediate
- Technical communicationintermediate
- Cloud-based platformsintermediate
- Big data analyticsintermediate
Required Qualifications
- Experience with machine learning and optimization techniques (experience)
- Ability to develop non-linear algorithms for optimization problems (experience)
- Knowledge of AI and machine learning models for predictive and prescriptive analytics (experience)
- Familiarity with simulation tools and scenario analysis (experience)
- Strong analytical and problem-solving skills (experience)
Preferred Qualifications
- Experience with fuel blending processes and industry-specific constraints (experience)
- Knowledge of programming languages and software relevant to machine learning and simulation (experience)
- Familiarity with data analysis and visualization tools (experience)
- Ability to work with cross-functional teams and communicate complex technical concepts (experience)
- Experience with cloud-based platforms and big data analytics (experience)
Responsibilities
- Analyzing and modeling fuel blending processes using machine learning and optimization techniques
- Developing non-linear algorithms to recommend optimal blend compositions
- Selecting and training AI and machine learning models
- Designing simulation tools to evaluate blending strategies under different scenarios
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Flexible working patterns
- general: Equal-opportunity employment
Tags & Categories
Data Scientist
IBM
Data Scientist
Job Description
Data Scientist
📋 Job Overview
As a Data Scientist at IBM, you will leverage your expertise in statistical modeling, machine learning, and advanced analytics to solve complex business problems using large-scale datasets and state-of-the-art AI techniques. You will work in IBM Consulting Client Innovation Centers, delivering technical and industry expertise to a global clientele. Your role will focus on analyzing and modeling fuel blending processes using machine learning and optimization techniques.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Analyzing and modeling fuel blending processes using machine learning and optimization techniques
- Developing non-linear algorithms to recommend optimal blend compositions
- Selecting and training AI and machine learning models
- Designing simulation tools to evaluate blending strategies under different scenarios
✅ Required Qualifications
- Experience with machine learning and optimization techniques
- Ability to develop non-linear algorithms for optimization problems
- Knowledge of AI and machine learning models for predictive and prescriptive analytics
- Familiarity with simulation tools and scenario analysis
- Strong analytical and problem-solving skills
⭐ Preferred Qualifications
- Experience with fuel blending processes and industry-specific constraints
- Knowledge of programming languages and software relevant to machine learning and simulation
- Familiarity with data analysis and visualization tools
- Ability to work with cross-functional teams and communicate complex technical concepts
- Experience with cloud-based platforms and big data analytics
🛠️ Required Skills
- Statistical modeling
- Machine learning
- Advanced analytics
- Transformer-based architectures
- Large language models (LLMs)
- Generative AI
- Text summarization
- Content generation
- Intelligent automation
- Non-linear algorithms
- Optimization techniques
- Predictive analytics
- Prescriptive analytics
- Simulation tools
- Scenario analysis
- Analytical skills
- Problem-solving skills
- Programming languages
- Data analysis
- Visualization tools
- Cross-functional teamwork
- Technical communication
- Cloud-based platforms
- Big data analytics
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Flexible working patterns
- Equal-opportunity employment
Locations
- Multiple Locations, India (Remote)
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
- Statistical modelingintermediate
- Machine learningintermediate
- Advanced analyticsintermediate
- Transformer-based architecturesintermediate
- Large language models (LLMs)intermediate
- Generative AIintermediate
- Text summarizationintermediate
- Content generationintermediate
- Intelligent automationintermediate
- Non-linear algorithmsintermediate
- Optimization techniquesintermediate
- Predictive analyticsintermediate
- Prescriptive analyticsintermediate
- Simulation toolsintermediate
- Scenario analysisintermediate
- Analytical skillsintermediate
- Problem-solving skillsintermediate
- Programming languagesintermediate
- Data analysisintermediate
- Visualization toolsintermediate
- Cross-functional teamworkintermediate
- Technical communicationintermediate
- Cloud-based platformsintermediate
- Big data analyticsintermediate
Required Qualifications
- Experience with machine learning and optimization techniques (experience)
- Ability to develop non-linear algorithms for optimization problems (experience)
- Knowledge of AI and machine learning models for predictive and prescriptive analytics (experience)
- Familiarity with simulation tools and scenario analysis (experience)
- Strong analytical and problem-solving skills (experience)
Preferred Qualifications
- Experience with fuel blending processes and industry-specific constraints (experience)
- Knowledge of programming languages and software relevant to machine learning and simulation (experience)
- Familiarity with data analysis and visualization tools (experience)
- Ability to work with cross-functional teams and communicate complex technical concepts (experience)
- Experience with cloud-based platforms and big data analytics (experience)
Responsibilities
- Analyzing and modeling fuel blending processes using machine learning and optimization techniques
- Developing non-linear algorithms to recommend optimal blend compositions
- Selecting and training AI and machine learning models
- Designing simulation tools to evaluate blending strategies under different scenarios
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Flexible working patterns
- general: Equal-opportunity employment
Tags & Categories