Lockheed Martin Applied Mathematics Summer Intern in Rochester, New York
This position will be responsible applying mathematical theories and techniques to solve practical problems associated with data collected from fleets of complex machines such as airplanes and helicopters. The applicant is expected to collaborate with data scientists, engineers, software teams, management, and other stakeholders to conduct data wrangling / mining, perform exploratory analysis, use mathematical theories and techniques to build and test models, generate visualizations, and create & present reports.
Basic Qualifications Pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, Statistics, or related discipline from an accredited college.
Minimum of 3.0 GPA
Desired skills and be comfortable writing code for data analysis (preferably with Python, Scala, R, or Java). Required skills include: • Basic theoretical foundation in statistics and machine learning • Familiarity with standard applied machine learning and data mining techniques • Experience in data analysis with Python, Scala, R, and/or Java
As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.
Join us at Lockheed Martin, where we’re engineering a better tomorrow.
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Job Location(s): Rochester New York