Data Scientist - Substrate

Intel
Phoenix, AZ 85003
  • Job Code
    JR0175230
  • Jobs Rated
    1st
Job Description

GSC ATS SBG is seeking a Substrate Data Scientist to join our Substrates Capacity Requirements Planning and Execution team. This is a new team within SBG that is chartered with finding, understanding, and reengineering finance, and business processes to deploy scalable, repeatable, data-focused solutions that help to make Intel's most important piece part uninterruptible and predictable. 

In the world of Intel, many financial and analytical activities take place on a regular cadence, and many others are performed as needed. A significant number of these processes are run in ancient spreadsheets that are no longer running well and provide meaningful roadblocks to Intel's agility and ability to compete. You will be like the Mandalorian, wandering the wastelands of Intel's forecasting and analysis space, solving problems one at a time

 

The Substrate Data Scientist will be responsible for but not limited to:

  • Use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from the structure and unstructured data.
  • Develop software, algorithms, and applications to apply mathematics to data, perform large-scale experimentation and build data-driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy.
  • Assist the business with casual inferences; observations with finding patterns, relationships in data.
  • Work in small project teams as a consultant, application developer, testing analyst, and project manager.
  • Gather and clarify business requirements with existing stakeholders to understand the business problem, the existing as-is process, and the required to-be business processes to identify key value drivers of the process.
  • Observe existing users perform the process, redesign the process with tools, automation, and data, and then help to train the existing users to run the new, improved process.
  • Work on project teams as a Data Quality advocate, providing subject matter expertise or leadership to ensure adherence to Data Architecture and Data Quality principles and methodologies.
  • Own one or more specific data processes and associated deliverables with responsibility for the health of the data and reporting.
  • Develop and deploy standard reports and BI dashboards for general-purpose customers.
  • Produce and deliver high visibility presentations and status updates on your developing area.

The ideal candidate should exhibit the following behavioral traits:

Understanding of internal business segment stakeholders

Written and communication skills.

Systems mindset. 

Data Focus. 

Desire to work with ambiguity. 

Willingness to work and learn independently. 

Fearlessness. 

Cultural dedication to One Intel and Transparency.

Interest in finance and financial decision-making.

Customer engagement skills.


Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. 

 

Minimum Qualifications:

 

  • The candidate must possess a Bachelor's degree in Business, Analytics, Computer Science, Mathematics, Operations Research, Finance, or Industrial Engineering or a related field.

  • 4+ years of experience at least in one of the following:

    • Strategic cost programs and reengineering.
    • Process flow with tools like SIPOC, business process workflow swim lane diagrams.
    • Making recommendations for automation and improvement.
    • Deploying recommendations in stable, repeatable software environments (i.e. RVM).
    • Data analysis and Excel familiarity. 

Preferred qualifications:

  • MBA or advanced degree in Operations Research, Finance, or Industrial Engineering.
  • Expertise in relational database structures, research methods, machine learning, Cloud-based technologies, Big Data technologies (i.e. Hadoop, HBase, Lucene/Solr), analytics packages (i.e. R, Mahout, Matlab, Octave, Weka), scripting languages (i.e. Python, Perl), programing languages (i.e. Java, C/C++, SQL).

Inside this Business Group

As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support.  Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moores Law to bring smart, connected devices to every person on Earth.



Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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Data Scientist - Substrate

Intel
Phoenix, AZ 85003

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Data Scientist
1st2019 - Data Scientist
Overall Rating: 1/199
Median Salary: $114,520

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