IBM is Hiring Data Scientist
Marketing Data Science & Analytics • Bangalore, Karnataka
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Job Overview
IBM is hiring an Entry-Level Data Scientist in Bangalore to join its Marketing, Communications & Corporate Social Responsibility (MCC) organization. The role supports IBM’s Marketing Data Science and Analytics team in developing data-driven intelligence and optimization solutions across marketing activities.
As a Data Scientist Intern/early-career professional, you will work with large and complex datasets, perform end-to-end analysis, build analytical models, and communicate insights through dashboards, reports, and presentations. The role provides exposure to areas including audience targeting, paid media, web presence, lead management, and sales analytics.
Key Responsibilities
- Develop scalable analytical solutions to generate data-driven insights.
- Extract meaningful knowledge from large and complex datasets to solve non-routine analytical problems.
- Conduct end-to-end data analysis from gathering data to defining analytical requirements.
- Build analytical models and apply advanced analytical methods where required.
- Develop data-driven optimization recommendations for marketing campaigns.
- Design dashboards, reports, and compelling analytical presentations.
- Conduct relevant industry research to support strategic marketing objectives.
- Communicate insights clearly to team members, marketing groups, and IBM leadership.
- Collaborate with cross-functional teams on strategic marketing business challenges.
Skills & Technologies
Programming & Tools
Data Visualization
Data Science & ML
Professional Skills
Eligibility
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Experience Required: 0 years / Entry Level. Experience may be gained through academic projects, coursework, internships, or relevant analytical work.
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Qualification: Bachelor’s Degree AND currently pursuing a postgraduate degree in Statistics, Mathematics, Data Science, Computer Science, Operations Research, or equivalent. (MBA/M.Tech candidates with relevant UG degrees also qualify).
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Technical Proficiency: Python or scripting experience. Hands-on knowledge of statistical software (SPSS, SAS, R) and visualization tools (Power BI, Tableau).
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Professional Skills: Strong written and verbal English communication. Ability to collaborate, solve complex analytical problems, and present data-driven recommendations.
How to Apply
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Ensure your resume highlights your Python/R skills, statistical modelling projects, and academic background in quantitative disciplines.
⚠️ Data Science roles at top MNCs fill up rapidly. Apply as soon as possible.