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About This Role
- 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.
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.
- 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.
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.
Sourced directly from Intel’s career page
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Specialisation
Open roles at Intel
627 positions
Job ID
/job/US-Oregon-Hillsboro/FFEO-FORGE-Statistician_JR0286324
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