Data Scientist

Key Skills

Java Programming, Python Programming, SQL, Keras software library, PyTorch, TensorFlow, Theano, Natural Language Toolkit - NLTK, R Programming, SPSS Statistics

Job Description

As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

Are you interested in state-of-the-art machine learning algorithms? Do you like solving complex real-world business problems? Would you like to be part of the global artificial intelligence and cognitive computing breakthrough? If your answer to all is yes – IBM is the place to build your career!

We are now looking for Data Scientist to join our team in Silicon Valley Lab, IBM. In this role, you will be part of the team which is developing cutting edge technologies to create machine learning models. You will be developing NLP based models for prediction based on text data. You will use any open source libraries to develop these models. You will also have a chance to make a difference through your work, be it in building models for predictive maintenance, optimization of large-scale industrial processes – or in any other new application area you can think of.

Who you are

Highly motivated, aspiring data scientist with experience in an artificial intelligence and machine learning from studies and/or previous work experience. Successfully building innovative analytical models, testing and validating models, data gathering and research, fact-based quantitative analysis, interpreting the models in business terms, and communicating findings to business leaders. Are you passionate about harnessing the power of big data and analytics to address real-world business problems and play a key role in influencing change?

Required Technical and Professional Expertise

• Industrial experience/Academic background in deep learning, natural language processing, machine learning
• Experience with NLP toolkits such as NLTK, OpenNLP etc.
• Experience with open source machine learning toolkits: tensorflow, keras, theano, CNTK, scikit-learn, pandas, numpy, libsvm
• Knowledge in Embeddings (Word2Vec, Bert etc) is a plus
• Strong experience in Python programing language in ML
• Strong knowledge in general software design, data structures, and relational/non sql databases
• Strong analytical skills, data driven mindset

Preferred Technical and Professional Expertise

• At least 2 years of experience in quantitative analytics, data science, machine learning and/or natural language processing
• 2 years programming skills in Python, R, SQL or another programming language
• Statistical modeling through software (e.g. SPSS) or programming language (e.g. Python)
• Understanding of database and analytical technologies in the industry
• Demonstrated ability to think strategically about business, product and technical challenges in an enterprise environment
• Excellent oral and written communication skills
• Ability to collaborate in a team environment
• Live or be willing to relocate to San Jose,CA