Sr Engineer, Data Science

Influence and develop data science strategies and applications Provide technical consulting and hands-on assistance to Fab area teams to create and/or identify best solutions, troubleshoot existing solutions, and deploy new solutions. Strong 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. Strong software development skills. Strong UI/UX design skills Strong knowledge in Web Technologies Experience with various frameworks and processes, such as Agile Data Analysis and Validation skills Programming Fluency in Python and/or R Expertise in Angular, Javascript and CSS Knowledge in Data Science, Machine learning and other advanced analytical methods Knowledge in Dotnet and C# is added advantage. 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 Master's degree or at least 6 years of work experience in data science. Hand-on experience in Data analytics, Data Engineering and Full Stack application development. Cloud Knowledge (GCP) is added Advantage. Superb interpersonal skills with demonstrable ability to effectively lead and present to small and large groups. Work multi-functionally with peers and senior and mid-level management. Peer leadership and relationship management skills, Strong analytical and problem-solving skills Highly organized and ability to remain flexible to the changing business needs. Outstanding customer focus with ability to projectized and prioritize work you're doing.