As a Supply Chain Data Scientist at Intel, you will be responsible for:
- Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
- Organizes, interprets and structures insights from data, detects data anomalies and makes corrections.
- Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts.
- Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required.
- Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation.
- Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions.
- Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients.
**Qualifications**:
Minimum Qualifications:
3+ years of combined experience in the following areas:
- Business Intelligence products
- Developing BI models and solutions using Microsoft BI stack Power BI On Premise Cloud.
- Extract, transform, and load (ETL) techniques traditional cloud Data Analysis Expressions, SQL, Excel, Visual Studio, Azure and other BI Visualization solutions.
- Power Apps,
- Azure Data Platform including Synapse/SQL/DataLake, LogicApps, Data Factory.
- Statistics and advanced analytics to find patterns and relationships in data create data models and visualizations to tell a compelling story and interpret the results that will enable others to drive change and action to drive business optimizations.
- Predictive modeling statistics Machine Learning Data Mining and other data analysis techniques to collect explore and extract insights from structure and unstructured data.
- Scripting languages i.e., Python Perl
- Advanced Analytics and other data science and analytics emerging trends.
Preferred qualifications:
- Master's Degree in Business Analytics, Operations Research, Computer Science Machine Learning or Supply Chain Management
- Work experience in Supply Chain or IT is preferred.
- Hands on experience with Agile Development methodology and framework
- Lean Six Sigma certification
- MS Azure Data Platform certification
- APICS CSCP certification
**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 Moore's 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.
**Benefits**:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
**Working Model**:
This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. **In certain circumstances the work model may change to accommodate business needs.**
JobType
Fully Remote