Data Scientist (Machine Learning and Statistical) Expert
The Verification and Quality Technologies department is looking for a data scientist candidate with deep knowledge of machine learning and statistical analysis methods. The candidate should have practical experience in applying such methods to real world problems. Knowledge and experience in statistical modeling is an advantage.
For the last three decades, our research department has been consistently developing state-of-the-art hardware verification solutions, which have allowed IBM to develop reliable top-of-the-line machines widely used in the industry. Eminence in this field was reached by pioneering the exploitation of advanced mathematics in the form of Constraint Solving Programming (CSP) and Model Checking technologies. Machine level techniques open new horizons for progressing, and are being adopted also in this area.
This position involves using statistical analysis and machine learning techniques to analyze the vast amount of diverse data collected through the development of a high-end system.
The purpose is to come up with powerful decision support methods - providing useful insights which have not been gained in any other way, predicting critical events and prescribing optimization alternatives to the development process.
We are also working on ML solution quality analysis. A challenge to ML deployment is the ability to define and continuously monitor solution quality, to ensure that it is of sufficient quality for the intended task. A major factor affecting ML solution quality is data. Among the directions we are working on are identifying sufficient quantity and quality of the training data, semi-automatically increasing the amount of good labeled training data, or deducing interesting relations between the training data distribution and the deployment data distribution.
Required Technical and Professional Expertise
M.Sc. or PhD in machine learning or other statistical analysis field
Practical experience in applying machine learning and statistical analysis to real world problems
Knowledge of analytics platforms such as: R, Python, Matlab, SPSS
Experience in software development
Preferred Tech and Prof Experience
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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