IBM has been working on the foundations of cognitive computing for decades, combining  advanced computational science with business expertise.  We are rapidly building and expanding our cognitive practice that uses natural language processing (NLP) and machine learning to reveal insights from large amounts of unstructured data, leveraging our Watson technology platform. 

Watson is an amalgamation of artificial intelligence, machine learning and natural language technologies. But it does not follow a logic-based set of rules as the supercomputers of the past did. Instead, it decomposes questions from natural language to understand the context of what is being asked.

• Cognitive technology, coupled with big data, is delivering the evidence-based information in a matter of seconds.
• Advanced text analytics engine able to extract insights from both structured and unstructured data.

We are looking for experienced and talented candidates  in these domains to join our team as cognitive data scientists, besides other cognitive solution roles that are required.

Cognitive Computing  - Delivery position - Core Skills

Quantitative: Skills to analyze data, and interpret analysis results in business in terms.

Machine Learning:  Skills to develop programmatic interventions to generate insights and develop cognitive systems.
It is required to have excellent programming skill in any one of the below languages, or good skills in any two languages from the following groups:

• Object-Oriented: Java / C++
• Procedural: Python / Perl / C/  Matlab / Octave / Fortran / Pascal
• Special Purpose: R / SAS / SPSS / Matlab / Octave / Rapid Miner / Weka / Mahout / Spark / LISP

We are also hiring for our Data Science practice - the fastest growing one in the Business Analytics and Strategy Service Line.  

We invite Advance Analytics Practitioners to become experts in IBM’s transformative Industry Analytic solutions and join a team with thought leadership and execution driven by distinguished scientists and business leaders from IBM. You will be working with both fortune 500 companies as well as a wide spectrum of businesses across the globe. We are hiring at different levels of seniority depending on  the breadth and depth of relevant experience. 

Data Science-Analytics –Delivery Position –Core skills

Analytical /quantitative skills: Ability to determine the appropriate data analytics technique for addressing classes of business problems

• Classification

Supervised  (at least two): Machine  Learning (SVM -Support Vector Machines),  Ensembles (Random Forest, Bagging etc.), logistic regression, Neural Networks, Bayesian Stats, Decision Trees)
Unsupervised (at least one): Clustering, Principal components, EM

• Scoring

Regression, Time Series (at least one)

Analytical tools: Experience with one or more of the analytic software packages, such as  R, SPSS, Python, and Spark