Job Details:

Job Description: 

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.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. 

Minimum Qualifications:

• Master's degree in Mathematics/Statistics/Industrial Engineering/Operations Research/Computer Science, or STEM related field with 3+ years of related experience.

• Proven experience with Python, R, or other programming languages (Python preferred)

• Expertise deploying large scale Linear programming (LP) and/or Mixed Integer Programming (MIP) models

• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design

• Experience querying, analyzing and presenting data.

Preferred Qualifications:

• PHD in Mathematics/Statistics/Industrial Engineering/Operations Research/Computer Science, or STEM related field.

• 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.

• Experience with Meta-heuristics and/or non-linear optimization methods

• Experience handling structured and semi-structured datasets

• 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.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Arizona, Phoenix

Additional Locations:

US, California, Santa Clara, US, Oregon, Hillsboro

Business group:

At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.

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: $136,900.00-269,150.00 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.

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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.