Research Scientist, Machine Learning

Key Skills

Apache Hadoop, AWS, Big Data Technology, Deep Learning, Java Programming, Machine learning techniques, Python Programming, SPARK Programming, SQL

Job Description

Hitachi America, Ltd. (www.hitachi-america.us) is looking for a Ph.D. (preferred) or Master’s degree holder in Computer Science or related areas to join the Big Data Analytics Solutions Research & Development team as a Research Scientist. The candidate will collaborate with researchers and engineers of multiple disciplines across Hitachi group companies in the US and Japan, in particular with researchers in big data and development teams to develop advanced data analytics solutions in the areas of industrial solutions, with a focus on both algorithms and systems. A technical background in Internet of Things (IOT) and Big Data systems applied to transportation, power, or manufacturing industry is desirable.

Responsibilities:

• Design and develop algorithms and solution using Machine Learning and Big Data Analytics to solve industrial problems.
• Initial tasks will include analyzing and modeling time series data using advanced statistical methods and developing machine learning models for demand forecasting.
• Build document clustering, topic analysis, text classification, named entity recognition, sentiment analysis, and part-of-speech tagging methods for unstructured and semi-structured data.
• Cluster and analyze large amounts of user-generated content and process data in large-scale environments, preferably using Amazon AWS, Hadoop and Spark.
• Develop and perform text classification using different machine learning models which also include deep learning.
• Develop methods to support and drive customer engagements focused on advanced analytics in diverse domains such as energy, power, manufacturing, etc.
• Disseminate results through written reports and oral presentations.

Qualifications:

• Ph.D. (preferred) or Master’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, or related fields (strong mathematical/statistics background with the ability to understand algorithms and methods from a mathematical and intuitive viewpoint)
• At least 3 years of professional working experience in Machine Learning and Data Analytics preferably in time series forecasting and Natural Language Processing/Text mining or related field in an academic or industrial setting.
• Experience with command-line scripting, data structures, and algorithms
• Ability to process large amounts of data in a distributed cloud environment
• Flexible approach and ability to take on new skills
• Self-starter and able to work on multiple projects
• Team player and a good communicator