The Decision Engineering Analytics Platform - DEAP, team is looking for a talented Data Scientist to help us reach our goal of empowering Intel to make faster and better decisions by unleashing the power of advanced analytics. We create Decision Support Tools, which are custom web applications that leverage our platform to deliver analyses to teams to support product design, architecture, performance, and manufacturing.
We have customers across almost every business unit and site at Intel, and our analytics are responsible for over improving shareholder value through increased revenue and decreased cost. The DEAP team is composed of data scientists, product engineers, systems engineers, and DevOps engineers.
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:
Customer orientation, problem discovery, possibility thinking, definition and path-finding skills, and work towards solutions that are part of an interconnected suite of analytics tools.
The candidate must have the following behavioral traits:
• 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 in mathematics/Statistics/Industrial Engineering/Operations Research/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.
Benefits:
We 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:
https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003
Annual Salary Range for jobs which could be performed in the US: $160,570.00-226,690.00 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.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.