Data Analytic Engineer
Found in: Talent CN S2 - 2 weeks ago
Education & Experience
Minimum MS Degree (PhD preferred) in applied mathematics, statistics, computer science or a comparable field of study with specialization in data analytics & machine learning. 4-10 years of work experience in similar field, statistical analysis, manufacturing data system development, analytical algorithms development or modeling experience. Experienced in manufacturing quality control, process, measurement.Required Skills
Be well acquainted in dealing with mathematical & statistical algorithms (e.g. regression, Bayesian models and numerical optimization etc.) and machine learning techniques (e.g. clustering, classification and neural networks etc.) Familiar with manufacturing statistical application (DOE, MSA, SPC, DMAIC, etc) Working knowledge of programming in Python. Data Analysis knowledge using any mix of software including, but not limited to: JMP, MATLAB, R, Minitab, SAS. Ability to analyze, optimize and debug scientific code. Experience in work with complex databases (such as SQL server, PI, AWS, Databricks, etc). Experience in building and maintaining BI dashboards (such as PowerBI, tableau, Dashbuilder, etc) Skilled with common workplace and database software (such as Pycharm, Jupyter notebook, Databricks, PI, etc) Ability to bridge gaps between “domain” language (engineering, science) and “computing solution” language. Ability to communicate with and understand the complex requirements of scientists, engineers and professional staff in the development and deployment solutions. Experience compiling and running code on high-performance computers.Desired Skills
Performance in manufacturing KPI/ ROI tracking and monitoring Strong mathematical and programming skills and capability for independently preparing data (ETL functions of cleaning, consolidating, transforming data) for machine learning purposes. Experience of using Big Data systems and data engineering knowledge including NoSQL, Hive/Spark/ MapReduce/Athena, etc. Knowledge of machine learning libraries (such as Tensor Flow, Keras, CNTK, Theano, SciKit-learn, Torch). Proficiency in Statistical Methods including DOE, Hypothesis Testing, Inferential Statistics, ANOVA, Multivariate Analysis, time series analysis Knowledge and understanding in Smart Manufacturing/ Manufacturing 4.0. Working knowledge with Big Data technologies (such as Hadoop, Spark, etc) and Cloud solutions Experience in web development with JavaScript, Flask, Django, Shiny, etc Experinece in programing with C#, C++, Java, etc Experience with NLP, image processing and computer vision. Physics based modeling skills in automatic control, optical and material science.Soft Skills
Ability to support multiple projects concurrently. Maintain technical curiosity and willingness to learn with strong problem solving and analytical skills Self-motivated with an ability to manage one’s own work independently. Must be collaborative and able to openly engage multinational interdisciplinary team to achieve project goals. Strong communication and presentation skills. Ability to communicate effectively by phone and video with team members in international locations. Strong interpersonal and communication skills and ability to work as a team player or independently are required. Clear dedication to excellence and advancing beyond the current state Project leadership skills to scope, layout our work plan, resource, control and close-out.-
Data Analytic Engineer
Found in: beBee S CN - 4 days ago
Hefei, China Corning Full timeRequisition Number: 62716 Corning is vital to progress – in the industries we help shape and in the world we share. We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts,...
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Found in: Talent CN S2 - 2 weeks ago
Hefei, China Corning Full timeRequisition Number: 62716 Corning is vital to progress – in the industries we help shape and in the world we share.We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and...
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