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Company Description Saira's Client Job Description Open Requirement for Person with Disabled Role- Data Science Engineer Location- Hyderabad Disability Type- Any type of disability Responsibilities and Duties include, but not limited to: Broad knowledge and experience in: Strong software development skills. Robust UI/UX design skills Strong knowledge in Web Technologies Experience with various frameworks and processes, such as Agile Solid desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics Knowledge in Cloud based data engineering and Machine Learning Model Knowledge in building APIs for application integration. Knowledge in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Data Analysis and Validation skills Above average skills in: Expertise in Angular, Javascript and CSS Programming Fluency in Python and/or R Knowledge in Data Science, Machine learning and other advanced analytical methods Knowledge in javascript, AngularJS 2.0, is MUST. Knowledge in Dotnet and C# is added advantage. Optional : Knowledge in Hadoop stack (Hive, HDFS, HBase and Spark) Optional: Understanding of pySpark and/or SparkR and/or SparklyR Optional: Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses Optional: Experience working with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Experience working with Manufacturing Execution Systems (MES) is a plus Demonstrated ability to: Work in a agile, fast-paced, work setting Self-motivated with the ability to work under minimal direction To adapt to recent technologies and learn quickly A passion for data and information with solid analytical, problem solving, and organizational skills Work in multi-functional groups, with diverse interests and requirements, to a common objective Communicate very well with distributed teams (written, verbal and presentation) Additional Information All your information will be kept confidential according to EEO guidelines. Company Description Saira's Client Job Description Open Requirement for Person with Disabled Role- Data Science Engineer Location- Hyderabad Disability Type- Any type of disability Responsibilities and Duties include, but not limited to: Broad knowledge and experience in: Strong software development skills. Robust UI/UX design skills Strong knowledge in Web Technologies Experience with various frameworks and processes, such as Agile Solid desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics Knowledge in Cloud based data engineering and Machine Learning Model Knowledge in building APIs for application integration. Knowledge in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Data Analysis and Validation skills Above average skills in: Expertise in Angular, Javascript and CSS Programming Fluency in Python and/or R Knowledge in Data Science, Machine learning and other advanced analytical methods Knowledge in javascript, AngularJS 2.0, is MUST. Knowledge in Dotnet and C# is added advantage. Optional : Knowledge in Hadoop stack (Hive, HDFS, HBase and Spark) Optional: Understanding of pySpark and/or SparkR and/or SparklyR Optional: Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses Optional: Experience working with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Experience working with Manufacturing Execution Systems (MES) is a plus Demonstrated ability to: Work in a agile, fast-paced, work setting Self-motivated with the ability to work under minimal direction To adapt to recent technologies and learn quickly A passion for data and information with solid analytical, problem solving, and organizational skills Work in multi-functional groups, with diverse interests and requirements, to a common objective Communicate very well with distributed teams (written, verbal
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