View Full Description Introduction 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 its 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 Combines deep data and analytics skills with strong business acumen to solve IT management problems and business problems by understanding, preparing, and analysing data to predict emerging trends and provide recommendations to optimize results. Responsibilities include - Analyse data quality and accuracy and provide recommendations to improve its trustability. - Work with business leaders to solve business problems by understanding, preparing, and analysing data to predict emerging trends and provide recommendations to optimize results. - Carry out data engineering, modelling, and business analysis tasks. - Solid scientific foundations as well as business acumen. Required Technical and Professional Expertise - Degree in Computer Science or Equivalent - Experience with cleansing and preparing datasets for analysis - Has expertise in applying statistics or machine learning in a problem-solving environment with large, complex datasets - Has experience with hypothesis testing, clustering, regression & classification, social network analysis, optimization, text analysis and time series analysis. - Has experience with R and Python or equivalent - Has expertise in developing, validating and executing algorithms and models on large scale systems - Has experience with convey Data Science results in layman terms - Familiarity with SQL or similar database query language - Familiarity with NoSQL databases - Familiarity with data visualization applications, like RShiny, Tablaeu or Python plotting packages - Advanced / Fluent in English Preferred Technical and Professional Expertise - Experience in using big data tools (e.g. Hortonworks/IBM; Hadoop, Spark, Kafka) - Previous data science project execution and industry experience .
