Supply Chain Data Scientist

at  Intel

JOB DESCRIPTION

As a Supply Chain Data Scientist at Intel, you will be responsible for:

• Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding.
• 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.
• Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decisionmaking.
• 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

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:

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

• Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding.
• 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.
• Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decisionmaking.
• 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