Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities

As a Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:

• Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in your projects
• Writing programs to cleanse and integrate data in an efficient and reusable manner
• Working 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
• Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
• Evaluating modelling results and communicating the results to technical and non-technical audiences.

Required Technical and Professional Expertise
Experience in SAS, Python and GIT
Experience in working in Linux Hadoop environment
Re-Fit and Validate results for existing SAS and Python Models
Update and Deploy Re-Fit SAS and Python models to Production
Troubleshoot and fix existing SAS and Python code
Improve existing SAS and Python Models and Features
Monitor and validate results of SAS and Python Model Production Runs
Address and production run issues related to the models and their feature source
Fluent in both English and Romanian

Preferred Technical and Professional Expertise
Python and SAS Programming