Posted by International Business Machines Corporation is an American multinational technology corporation headquartered in Armonk, New York, with operations in over 171 countries. IBM Computers and information technology, A career in IBM Consulting embraces long-term relationships, meaningful impact, and close collaboration with clients across the globe.
Entry Level Commercial Associate Data Scientist / Engineer – USA
Job Description:
As an Associate Data Scientist at IBM, you’ll help transform clients’ data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. In your role, you will be responsible for:
Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data
Incorporating a variety of statistical and machine learning techniques
Writing programs to cleanse and integrate data in an efficient and reusable manner
Using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools
Working in an Agile, collaborative environment and partnering with other data scientists, engineers, and consultants 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
Familiarity with programming/scripting in a language such as Java or Python
Basic understanding of statistical programming in a language such as R, Python, SAS, or Scala
Exposure to analytical software such as SAS, SPSS, or MATLAB
Have past work or internship experience using data science tools in a corporate environment
Strong interpersonal skills with ability to collaborate and work effectively with individuals, strengthening relationships to achieve win-win solutions
Ability to look at things differently, debug, troubleshoot, design, and implement solutions to technical issues