Describe the function of the role and how it fits into your department?  

 

As a Data Science Engineer at Micron Technology Inc., you will be a key member of a multi-functional team responsible for developing and growing Micron’s methods and systems for applied data analysis, modeling and reporting. You will be collaborating with other data scientists, engineers, technicians and data mining teams to design and implement systems to transform and process data extracted from Micron’s business systems, applying advanced statistical and mathematical methods to analyze the data, creating diagnostic and predictive models, and creating dynamic presentation layers for use by high-level engineers and managers throughout the company. You will be creating new solutions, as well as, supporting, configuring, and improving existing solutions. 

Why would a candidate love to work for your group and team? 

We are a Smart Manufacturing and AI organization with a goal to spearhead Industry 4.0 transformation and enable accelerated intelligence and digital operations in the company. Our teams deal with projects to help solve complex real-time business problems that would significantly help improve yield, cycle time, quality and reduce cost of our products. This role also gives a great opportunity to closely work with data scientists, I4.0 analysts and engineers and with the latest big data and cloud-based platforms/skillsets. We highly welcome new ideas and are large proponent of Innovation. 

What are your expectations for the position?  

We are seeking Data Science Engineers who are highly passionate about data and associated analysis techniques, can quickly adapt to learning new skills and can design/implement state-of-art Data Science and ML pipelines on-prem and on cloud.  

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for Data Science, AI and Advanced analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to transform and process data from multiple sources, to apply statistical and ML techniques to analyze data, to discover underlying patterns or improve prediction capabilities, and to deploy advanced visualizations on modern UI platforms. There will be significant opportunities to perform exploratory and new solution development activities 

Roles & responsibilities can include but are not limited to: 

Broad knowledge and experience in: 

• 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. 

• Ability to apply latest mathematical and statistical techniques to analyze data and uncover patterns. 

• Interested to build web application as part of job scope.  

• Knowledge in Cloud based Analytics and Machine Learning Modeling 

• Knowledge in building APIs for application integration. 

• Knowledge in the areas: statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning.  

• Data Analysis and Validation skills 

• Strong software development skills. 

Above average skills in: 

• Programming Fluency in Python  

• Knowledge in statistics, Machine learning and other advanced analytical methods 

• Knowledge in javascript, AngularJS 2.0, Tableau will be added advantage. 

• Knowledge in OOPS background is added advantage.  

• Understanding of pySpark and/or libraries for distributed and parallel processing is added advantage. 

• Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses 

• Knowledge with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus 

• Understanding of Manufacturing Execution Systems (MES) is a plus 

Demonstrated ability to: 

• Work in a dynamic, fast-paced, work environment 

• Self-motivated with the ability to work under minimal direction 

• To adapt to new technologies and learn quickly 

• A passion for data and information with strong 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) 

Education:

• Bachelor’s or Master’s Degree in Computer Science,Mathematics, , Data Science and Physics.
• CGPA requirements = 7.0 CGPA & Above