As the EMP MDA Data Scientist, you will be responsible for but not limited to:
Delivering Operational Analytics and Automation solutions in partnership with business subject matter experts and super users to solve complex problems and developing an effective analytics self-service community within the business.
Designing and applying leading Data Analytics solutions to influence how the business groups in EMP use analytics as an integral ingredient to a world class Manufacturing organization.
Developing algorithms and mathematical models, performing experimentation and building data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy.
Delivering data engineering and automation capabilities that enable analytics solution.
Enabling EMP wide data culture through engagements with customers, educating them on technical capabilities available and facilitating data accessibility and awareness initiatives.
Work with EMP teams to identify analytics needs and create plans to deliver models that provide insights.
The ideal candidate should exhibit the following behavioral traits:
Understanding of internal business segment. (stakeholders)
Possess written and communication skills. Able to clearly communicate project status, risks and help needed. Be able to elicit requirements, discuss solution options and drive adoption with customers.
Self-starter, responsible, dependable and inquisitive.
Ability to solve complex analytics problems
Desire to drive change and infuse new mindset to streamline our business.
Challenges status quo and has a passion to drive smart change using data.
Project management skills as well as Supply Chain business background with a track record of leading and delivering complex projects thru multi-disciplinary, matrixed cross- geo teams and partnerships.
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
The candidate must possess at least one of the following degrees plus the years of experience determined for each degree in the areas specified below
Ph.D or Master's Degree in Data Analytics/Science, Mathematics, Statistics, Machine Learning with 4+ years of experience
Proficiency with real-world experience, and areas Business Intelligence products.
Developing BI models and solutions using Microsoft BI stack on Azure
Azure Data Platform including DataBricks/Snowflake/Synapse/SQL/DataLake, LogicApps, Data Factory
Statistics and advanced analytics to find patterns and relationships in data
Large data set manipulation
Creation of 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.
Experience with modern analytics frameworks to drive world-class analytics capability
Deep experience with analytics languages and frameworks such as Python, R
Experience with creating insights and visualizations
This position is not eligible for Intel immigration sponsorship.
Work experience in Supply Chain is preferred
Hands on experience with Agile Development methodology and framework
MS Azure Data Platform certification
Semiconductor industry experience