

Responsibilities will include but are not limited to:
• Designing, implementing, growing, and maintaining Analysis Packages that are used by decision makers at Intel to improve product design, architecture, and manufacturing processes.
• Analysis Packages include a variety of techniques including mathematical optimization, simulation, and Machine Learning models.
You will work directly with our business partners to:
• Identify areas where applying analytics can improve business results.
• Research analytical techniques to address business problems.
• Design and implement analysis packages.
• Work with partners to ensure the analysis is adopted and used by the business.
• Measure the impact as time or cost savings and revenue increases for Intel.
• Research new techniques and propose new optimization tools for our applications.
In addition to the qualifications a successful candidate will demonstrate:
• Problem solver with the ability to generalize.
• Self-starter, organized, detail-oriented, and ability to move forward through ambiguity.
• Excellent written and verbal communication and presentation skills.
Minimum Qualifications:
The candidate must possess a PHD or master's degree inmathematics/Statistics/IndustrialEngineering/OperationsResearch/Computer Science, or STEM related field AND 4+ years of related experience in the following:
• Python, or other programming languages (Python preferred)
• Python analytical libraries (pandas, numpy, matplotlib, scikit-learn).
• Expertise deploying large scale Linear programming (LP) or Mixed Integer Programming (MIP) models
• Experience of statistical modeling, machine learning algorithms, causal inference and experimental design
Preferred Qualifications:
• Knowledge of advanced Numerical Optimization Concepts (Decomposition methods, Dynamic Programing, Stochastic Optimization, Robust Optimization).
• Demonstrated expertise with market segmentation, demand modeling and pricing models.
• Experience with source control (GIT, GitHub).
• Experience with test driven development and unit testing frameworks
• Working knowledge of Dev-OPS and/or ML-OPS
• Proven track record of solving complex business problems.
• Experience working effectively building and managing effective customer relationships.
• Comfortable with linear optimization software (ILOG/CPLEX, GUROBI, etc.)
• Experience with Meta-heuristics and non-linear optimization methods
• Experience handling structured and semi-structured datasets
• Ability to query analyze and present and visualize data.
offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
Annual Salary Range for jobs which could be performed in the US: 160,570.00 USD - 226,690.00 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.This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.משרות נוספות שיכולות לעניין אותך