Data Scientist-Artificial Intelligence
IBM
Data Scientist-Artificial Intelligence
Job Description
Data Scientist-Artificial Intelligence
📋 Job Overview
As a Data Scientist-Artificial Intelligence at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves leading a team to develop and implement data models, analyze complex datasets, and drive innovation through AI and data analytics. You will collaborate with data engineers and other stakeholders to optimize data pipelines and enhance decision-making processes.
📍 Location: Kochi, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Lead a team of engineers to meet release dates and deliverables on-time and with quality
- Balance priorities and work assignments across team members following agile processes
- Interface with product management and offering managers to understand customer requirements and business prioritization
- Drive development activities, monitor progress, collaborate to align dependencies, remove blockers for team members and manage risks
- Develop and implement effective strategies for software development, testing, and deployment
- Analyze large, complex data sets and provide actionable insights to inform business decisions
- Design and implement data models to identify patterns and trends
- Work with data engineers to optimize and maintain data pipelines
- Perform quantitative analyses to translate data into actionable insights
- Identify and recommend process improvements to enhance the efficiency of the data platform
- Develop and maintain data models, algorithms, and statistical models
✅ Required Qualifications
- 5-7 years of experience
- Sound knowledge of Python
- Experience with ML related services
⭐ Preferred Qualifications
- Experience with conversation analytics
- Experience with cloud technologies
- Experience with data exploration tools such as Tableau
🛠️ Required Skills
- Python
- Data Analytics Packages
- Agile processes
- Collaboration
- Leadership
- Quantitative analysis
- Data modeling
- Algorithm development
- Statistical modeling
- Conversation analytics
- Cloud technologies
- Data exploration tools (e.g., Tableau)
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate and drive exceptional outcomes for customers
Locations
- Kochi, IN, 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
- Pythonintermediate
- Data Analytics Packagesintermediate
- Agile processesintermediate
- Collaborationintermediate
- Leadershipintermediate
- Quantitative analysisintermediate
- Data modelingintermediate
- Algorithm developmentintermediate
- Statistical modelingintermediate
- Conversation analyticsintermediate
- Cloud technologiesintermediate
- Data exploration tools (e.g., Tableau)intermediate
Required Qualifications
- 5-7 years of experience (experience)
- Sound knowledge of Python (experience)
- Experience with ML related services (experience)
Preferred Qualifications
- Experience with conversation analytics (experience)
- Experience with cloud technologies (experience)
- Experience with data exploration tools such as Tableau (experience)
Responsibilities
- Lead a team of engineers to meet release dates and deliverables on-time and with quality
- Balance priorities and work assignments across team members following agile processes
- Interface with product management and offering managers to understand customer requirements and business prioritization
- Drive development activities, monitor progress, collaborate to align dependencies, remove blockers for team members and manage risks
- Develop and implement effective strategies for software development, testing, and deployment
- Analyze large, complex data sets and provide actionable insights to inform business decisions
- Design and implement data models to identify patterns and trends
- Work with data engineers to optimize and maintain data pipelines
- Perform quantitative analyses to translate data into actionable insights
- Identify and recommend process improvements to enhance the efficiency of the data platform
- Develop and maintain data models, algorithms, and statistical models
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: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate and drive exceptional outcomes for customers
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist-Artificial Intelligence @ IBM.
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Data Scientist-Artificial Intelligence
IBM
Data Scientist-Artificial Intelligence
Job Description
Data Scientist-Artificial Intelligence
📋 Job Overview
As a Data Scientist-Artificial Intelligence at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves leading a team to develop and implement data models, analyze complex datasets, and drive innovation through AI and data analytics. You will collaborate with data engineers and other stakeholders to optimize data pipelines and enhance decision-making processes.
📍 Location: Kochi, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Lead a team of engineers to meet release dates and deliverables on-time and with quality
- Balance priorities and work assignments across team members following agile processes
- Interface with product management and offering managers to understand customer requirements and business prioritization
- Drive development activities, monitor progress, collaborate to align dependencies, remove blockers for team members and manage risks
- Develop and implement effective strategies for software development, testing, and deployment
- Analyze large, complex data sets and provide actionable insights to inform business decisions
- Design and implement data models to identify patterns and trends
- Work with data engineers to optimize and maintain data pipelines
- Perform quantitative analyses to translate data into actionable insights
- Identify and recommend process improvements to enhance the efficiency of the data platform
- Develop and maintain data models, algorithms, and statistical models
✅ Required Qualifications
- 5-7 years of experience
- Sound knowledge of Python
- Experience with ML related services
⭐ Preferred Qualifications
- Experience with conversation analytics
- Experience with cloud technologies
- Experience with data exploration tools such as Tableau
🛠️ Required Skills
- Python
- Data Analytics Packages
- Agile processes
- Collaboration
- Leadership
- Quantitative analysis
- Data modeling
- Algorithm development
- Statistical modeling
- Conversation analytics
- Cloud technologies
- Data exploration tools (e.g., Tableau)
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate and drive exceptional outcomes for customers
Locations
- Kochi, IN, 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
- Pythonintermediate
- Data Analytics Packagesintermediate
- Agile processesintermediate
- Collaborationintermediate
- Leadershipintermediate
- Quantitative analysisintermediate
- Data modelingintermediate
- Algorithm developmentintermediate
- Statistical modelingintermediate
- Conversation analyticsintermediate
- Cloud technologiesintermediate
- Data exploration tools (e.g., Tableau)intermediate
Required Qualifications
- 5-7 years of experience (experience)
- Sound knowledge of Python (experience)
- Experience with ML related services (experience)
Preferred Qualifications
- Experience with conversation analytics (experience)
- Experience with cloud technologies (experience)
- Experience with data exploration tools such as Tableau (experience)
Responsibilities
- Lead a team of engineers to meet release dates and deliverables on-time and with quality
- Balance priorities and work assignments across team members following agile processes
- Interface with product management and offering managers to understand customer requirements and business prioritization
- Drive development activities, monitor progress, collaborate to align dependencies, remove blockers for team members and manage risks
- Develop and implement effective strategies for software development, testing, and deployment
- Analyze large, complex data sets and provide actionable insights to inform business decisions
- Design and implement data models to identify patterns and trends
- Work with data engineers to optimize and maintain data pipelines
- Perform quantitative analyses to translate data into actionable insights
- Identify and recommend process improvements to enhance the efficiency of the data platform
- Develop and maintain data models, algorithms, and statistical models
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: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate and drive exceptional outcomes for customers
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist-Artificial Intelligence @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs