Senior Data Scientist

6 hours ago

Apply Now

Receive Emails with Similar Jobs

Slingshot Aerospace

WebsiteLinkedInAll Job Openings

aerospace • machine learning • analytics • space • AI

51 - 200

💰 $25.2M Grant on 2022-03

Description

• Development of machine learning approaches, algorithms, and prototypes that lend datasets and scenario insights into key business arenas and future opportunities • Create and prepare predictive models into Slingshot data science software products • Identify and design data science product development, business concepts, and outreach activities • Build and refine simulation-based dataset development, research, insights, and predictions • Participate in a strong matrixed data science team and culture • Identify, lead, and deliver data science modeling insights as publications, papers, internal communications, and patents • Perform other duties as assigned (to be less than 10% of the responsibilities listed above)

Requirements

• Must be eligible to obtain or maintain US Government Security Clearance • Advanced degree (Ph.D. or MS plus 2 years experience) with graduate degree in mathematics, data science, physics, or other related quantitative discipline • Conducted quantitative research with an emphasis in one or more of the following areas: (a) simulation modeling and analysis, (b) reinforcement learning, (c) agent-based modeling, prediction, and insights, or (d) stochastic data set construction • Demonstrated proficiency in algorithm development and implementation in one or more formal programming language(s) (e.g. Julia, Python, java/kotlin, C/C++) • Expert-level understanding of machine learning and deep learning • Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners • Excellent verbal and written communication skills • Published peer-reviewed journal articles employing data science simulation methods, approaches, applications, predictions, or dataset creation • Experience with aerospace and astrodynamics research or subject areas • Ability to demonstrate creative solutions to challenging projects • Development of AI algorithms for use in environmental, physical, or behavior prediction • Experience leading the development, implementation, and transition of technology to production