Job Details:

Job Description: 

The Role and Impact 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. Business group 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. Key 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.

Qualifications:

Minimum Qualifications
- 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.
Experience to be considered:
- 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.

Preferred Qualifications
- 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).

Be part of a team where your expertise in analytics and statistical methods will have a direct impact on driving innovation and shaping Intel's success in the ever-evolving technology landscape.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

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.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

 

 

Annual Salary Range for jobs which could be performed in the US: $161,550.00-228,070.00 USD

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

 

 

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.