Introduction
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
- Translate business requirements into "high-level" design solutions including mapping documents and SQL
- Participate in regular standups and prioritization sessions
- Create test cases and prototypes; perform tests in development, test and production
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- Analyze and validate data from sources
Required Technical and Professional Expertise
Knowledge of mainframe concepts would be a plus:
- mainframe hardware: CECs, Engines, MIPS, Memory, LPARs, features, orders
- mainframe software: licenses, value metrics, aggregation, MSUs, Value Units
- mainframe revenue: hardware, software, brands/divisions, majors/minors, unbundling
- familiarity with advanced concepts is a plus: leasing, maintenance, storage, royalties, sub-capacity, on-demand offerings
Background
- Bachelors degree in Mathematics, Computer Science or similar
- Required experience with DB2 or another relational database system
- Required experience with data warehousing
- Required expert-level SQL skills
- Knowledge of relational database theory and database design
- Experience synthesizing business requirements into technical designs
- Familiarity with the DevOps approach to software dev/test/deploy/maintain
- Familiarity with the Agile approach to software development
- Experience working in a mainframe development environment is a plus
Preferred Technical and Professional Expertise
Soft skills
Strong verbal and written communication skills
Self-starter, able to work autonomously
Attention to detail
Desire to grow skills
Team player