Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
- Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
- Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirement
- Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
- Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results
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Required Technical and Professional Expertise
• Strong understanding of ETL, data structures, data flow, data models and data governance
• Experience working with data warehouse concepts, terminology and architecture.
• Strong analytical skills with experience writing functional/technical specifications.
• Good communication skills
Preferred Technical and Professional Expertise
ETL performance tuning skills
Understanding of Data warehousing design concepts/skills
* SQL skills including complex query building and query performance tuning