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Data Scientist

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Location: Singapore
Job ID: 95
Date Posted: Feb 26, 2020
Segment: IT
Business Unit: Hitachi Consulting
Company Name: Hitachi Consulting Global Corporation
Profession (Job Category): Information Technology
Job Type (Experience Level): Experienced
Job Schedule: Full-time

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•Problem solver with a curious mindset with a high execution bias having relevant work experience in Data Science in the engineering domain. \n•Data scientist with hands-on expertise in building and executing analytics modules on various technology platforms including big data technology platforms. \n•Own and complete workstreams from business levers, domain know-how and bias for execution and delivery. \n•Be able to compile results from various work streams and be able to make coherent presentations to internal and external stakeholders. \n•Experience in building or managing data products, high performer and problem solver. \n•Applying best practices to manage solution implementations including code design and reviews\n
Must-Have Skills\n\n•Sound knowledge of machine learning concepts. Illustrative machine learning methodologies are: \n•Bagging, Boosting, Regularization, Online Learning, One Hot Encoder etc. \n•Statistical modelling - CHAID, CART, Regressions, SVM, SVD etc. \n•Experience on the text analytics stack - NLP, NLU, LDA, TF-IDF etc. \n•Ability to communicate analytics-based insights to business stakeholders. Independent problem solver is comfortable to work in an ambiguous solution space. Strong PPT Skills, Excel \n•Demonstrated experience in delivering analytics projects in high-pressure environments\n•MS in Computer Science, Engineering, Mathematics, Statistics or a related field with solid exposure to Machine Learning and/or Advanced Analytics with 5+ years of experience in predictive analytics and exposure to big data analytics. MBAs with relevant data science skills will also be considered. \n•Strong understanding of the electrical engineering domain. \n•Strong coding skills in Python is a must, and in other languages like R and SQL, Hive Sql \n•Hands-on experience with Python libraries - NumPy, Pandas, sklearn \n•Hands-on knowledge of working with scalable platforms for processing large and/or complex multi-source data sets using Hive, Hadoop or Spark (PySpark) is a plus. \n•Comfortable with working on Unix, Windows and databases like Elastic Search and MongoDB\n•Demonstrated the use of data optimization (Linear/Non-linear) to solve constrained business problems \n•Comfortable with working on Unix, Windows and databases like Elastic Search and MongoDB\n

To apply, email resume to: [email protected].

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