Data Analytics Engineer

1 week ago

Shanghai, China Corning Full time

Internal Corning Employees are provided the opportunity to review global job openings for potential interest. However, they are encouraged to do so with the understanding that whether or not they will be considered a candidate for positions located outside their geographic area (city, country, region) will depend on a number of factors such as the availability of local subject matter expertise or qualified talent, the need to obtain and availability of work authorization, costs associated with internal transfer, etc. It will be the decision of the hiring organization whether to permit employees applying outside the local area where the opening exists to be considered a candidate for that opening. It is recommended employees wishing to apply for job openings at Corning make their supervisor aware of their interest before formally applying.

 

 

Day to Day Responsibilities:

  • Attend and manage business solution projects.
  • Design and develop data analytics training curriculums to popularize basic data analysis capabilities.
  • Define, design and implement appropriate solutions and options (ie. statistics methods or machine learning techniques) to perform exploratory and targeted data analysis. Apply the findings to quality, process, measurement and control solutions.
  • Act as an expert in data analytics field to close communicate with team members to make sure the solution is properly integrated with other business solution if necessary.
  • Evaluate and demonstrate quantifiable impact on the raw materials, finished product, manufacturing process and manufacturing supporting systems using data analytics and data visualization tools (e.g. Tableau, Power BI … etc)
  • Write technical reports summarizing development, validation and application of the technical analysis.
  • Share and contribute Corning’s data analytics community of practice in developing the capabilities and promoting areas of applications.
  • Lead the delivery of basic and advanced data analysis course in the organization and provide technical consultancy to wide spectrum of user groups within the company.
  • Be responsible to understand problems from the customer's point of view and translate into data analytics solution and work plans. Communicate technical analysis and results to internal customers.
  • Coach junior engineers in advancing data analytics capability as part of building the critical mass for the team.
  • Establish and maintain external linkage with academic and industry partners to stay abreast in data driven technology for value-added deployment across Corning businesses.

 

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, NLP/ LLM.
  • 1~5 years of work experience in similar field, statistical analysis, analytical algorithms development or modeling experience.
  • Experienced in manufacturing quality control, process and lab 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, etc).
  • Experience in building and maintaining BI dashboards (such as PowerBI, tableau, 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 design prompting in LLM (ChatGPT, Llama, etc)
  • 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, Dash, 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.

 

Pay Grade:  

Employee Referral Amount: $3,000.00  

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