FFEO FORGE Statistician

Intel•Hillsboro, OR

5d•Hybrid

About The Position

As a Statistician, you will play a pivotal role in transforming complex data into actionable insights to drive decision-making across diverse projects. You will design and apply statistical methodologies, develop predictive models, and create impactful data visualizations to uncover patterns, optimize processes, and address business objectives. Your expertise in statistical analysis and data science will support cross-functional teams, enabling Intel to make informed, data-driven decisions that contribute to our innovation and success. This role is part of a dynamic team within Intel's broader Analytics and Insights organization, dedicated to advancing data-driven strategies and solutions. The group focuses on integrating internal and external data to uncover insights, enhance business performance, and drive growth. By leveraging cutting-edge statistical and analytical techniques, the team plays a crucial role in supporting Intel's mission to redefine technology and improve lives worldwide.

Requirements

Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, or a related field with 6+ years of experience OR a Master's degree with 4+ years of experience OR a PhD with 2+ years of experience.
Expertise in statistical techniques such as regression analysis, multivariate analysis, and predictive modeling.
Experience working with big data analysis tools, data validation methods, and data normalization techniques.
Strong ability to work with data structures, perform data cleansing, and ensure data quality.

Nice To Haves

Experience with business intelligence solutions and reporting tools that support data-driven decision-making.
Demonstrated ability to translate complex data into accessible insights for diverse audiences.
Knowledge of Statistical Process Control and its applications in maintaining data integrity.
Strong communication skills and a collaborative mindset to work effectively across teams.
Facilities process control systems.
Knowledge of machine learning frameworks and model training methodologies.
Proficiency in statistical programming languages (e.g., Python, R) and data visualization tools (e.g., Tableau, Power BI).

Responsibilities

Design, develop, and apply statistical models and algorithms to analyze complex datasets and uncover actionable insights.
Conduct statistical analyses, including multivariate analysis, regression analysis, and inferential methods, to support business objectives.
Develop predictive models and advanced analytics to optimize and refine products, services, and processes.
Prepare high-quality data visualizations, dashboards, and reports to effectively communicate findings to stakeholders.
Collaborate across functions to provide statistical support, consult on methodologies, and drive data integrity management.
Explore and research new statistical methods, data science techniques, and machine learning frameworks to enhance analytics capabilities.
Democratize analytical methods through teaching and collaboration, fostering a culture of data-driven decision-making.
Conducts statistical analyzes to derive conclusions from the study, identifies and quantifies sources of variation, discovers patterns in the data, and draws conclusions that go beyond the observed data.
Identifies new opportunities for reports and value-added analytics, researches new methods in statistics, data science, and machine learning.
Writes reports, develops dashboards, and prepares data visualizations.
Integrates internal and external data to test concepts, evaluates markets and opportunities, optimizes and refines products and services, and explores areas for growth.
Assists cross-functional teams with decision making by collecting, analyzing, and presenting data. Works across projects and uses statistical and mathematical skills to understand data trends before presenting reports to business managers and stakeholders.
Provides statistical support for projects, consults with managers, engineers, and technicians on engineering methodologies, data analysis, and experimental design.
Applies advanced statistical techniques to create high performing predictive models and creative analyzes to address business objectives and client needs, responding to customer requests as required.