The Lockheed Martin Analytics Center of Excellence is looking for an enthusiastic individual with a strong background in data science and data engineering to join the team, develop actionable models and metrics to make data-based decisions, and optimize code for the productionalization of models. The role will focus on applying data science to business operations, whereby the candidate will need to understand stakeholders’ business needs, translate them into data science projects, build the required analytical data pipelines, and then build and deliver production-grade code for models and analytics to the stakeholder. This role will have a particular focus on productionalizing model code to ensure the models perform well enough to be part of a comprehensive deployed analytics solution.
This position will report to the organization of the Chief Data and Analytics Officer (CDAO) and will partner with multiple functions (digital transformation, emerging technologies, operations, finance, competitive intelligence, business development, etc.) to apply data science tools and techniques to real-world challenges within the corporation. The selected candidate will leverage strong data science skills from every step of the analytics pipeline (problem formulation, data collection, wrangling, cleaning, exploratory analysis, modeling, visualization, presentation, productionalization) in order to achieve success in his/her projects. Tools and technologies which the candidate will use include Python, R, Tableau, and various forms of . The candidate will be expected to apply various techniques and statistical inference techniques to business problems throughout the corporation.
This is a remote position, but the candidate must be able to travel 25% post-COVID 19 restrictions. MUST BE A US CITIZEN.