IBM jobs - Data Science Engineer

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities
As a Data Science Engineeryou will be responsible for building and optimizing our data models to detect security vulnerabilities that can operate on large amount of data in an efficient manner as well as making this capability available as a service. You will also work with our software developers on integrating this capability with infrastructure automation software towards offering it as an end to end applications protection and recovery service .

You must be self- directed and comfortable dealing with complexity. The right candidate will be excited by the prospect of optimizing or even re- designing our anomaly detection and correlation models. The solutions developed by you would be highly scalable and will be deployed on platforms like Kubernetes, VMware and public clouds.

#GTSISALABS2021


Required Technical and Professional Expertise

• Degree in Statistics, Mathematics, Computer Science or another quantitative field with 6+ years of experience in manipulating data sets and building statistical models
• Experience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
• Experience in creating and using advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
• Experience creating and using advanced machine learning algorithms and statistics:
  regression, simulation, scenario analysis, modelling, clustering, decision trees, etc.
• Strong knowledge of Java or Python and general software development skills
  (source code management, debugging, testing, deployment, etc.)
• Experience querying databases and using statistical computer languages (R, Python,
  etc) to manipulate data and draw insights from large data sets.
• Experience with open-source ML/DL/math toolkits such as scikit-learn, WEKA,
  MLlib,, PyTorch, TensorFlow, NumPy, etc.
• Experience in visualizing or presenting data for stakeholders using Excel, PowerBI, Tableau etc.

Preferred Technical and Professional Expertise

• Experience with open-source machine learning tools and libraries
• Experience working in an agile development team building software product
• Strong understanding of cloud computing, file systems and various storage technologies