IBM Global Business Services (GBS) is a team of business, strategy and technology consultants enabling enterprises to make smarter decisions and providing unparalleled client and consumer experiences in cognitive, data analytics, cloud technology and mobile app development. With global reach, outcome-focused methodologies and deep industry expertise, IBM GBS empowers clients to digitally reinvent their business and get the competitive edge in the cognitive era in over 170 countries.
We are looking for candidates who are passionate about solving complex data science problems and consider themselves “Deep Thinkers”.
Basic Requirements -
Masters degree in Computer Science, Statistics, Economics, Physics or alike. Ph.D. is an advantage ( in Neuro-science /quantitative field)
The ideal candidate will have strong control over standard machine learning and analytical techniques: Linear, nonlinear, classification, anomaly detection, Natural Language Processing (NLP). Knowledge in statistics: regressions, Time series analysis. Experience in manipulating data, SQL, Big Data capabilities, analysis of results and understanding the story behind it.
An advantage- candidates with knowledge in one of the following fields: Social Network Analysis , Deep learning (Neural Net) and /or Bayesian Statistics.
Candidate should be excited about open source, in particular python and/or R.
Location: Tel Aviv area
Required Technical and Professional Expertise
Strong control over standard machine learning and analytical techniques
Preferred Tech and Prof Experience
candidates with knowledge in one of the following fields: Social Network Analysis , Deep learning (Neural Net) and /or Bayesian Statistics.
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.