Application Owner, DEAP Platform

Intel Corporation • Santa Clara, CA

1d • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Designing, implementing, growing, and maintaining Analysis Packages that are used by decision makers at Intel to improve product design, architecture, and manufacturing processes.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level