Job Description

What You’ll Do:

In this role, you will be a member of the Data Science team, which is rooted within the larger science organization at Slingshot. You will contribute directly to Slingshot’s vision to accelerate space sustainability to create a safer, more connected world. 

Slingshot Aerospace cares deeply about our commitment to company values, mission, and purpose . The core competencies we will be looking to identify include intellectual agility, ability to develop innovative solutions, leadership, performance orientation, and industry expertise.

Position Responsibilities: 

• Develop machine learning approaches, algorithms, prototypes, and models that lend insights into key business arenas and future opportunities; 


• Spearhead cutting edge AI initiatives with LLMs, agentic systems, and automated and reasoning agents;


• Envision and develop simulation environments to support agent training and learning;


• Participate in a matrixed team of AI and data scientists, astrodynamics scientists, and engineers;


• Identify and develop predictive algorithms, research, insights, and data science products;


• Participate in a strong data science team culture;


• Identify and develop data science product development, business concepts, and outreach activities;


• Author thought leading publications to advance technology for space security, safety, and sustainability;


• Collaborative work to deliver data science modeling insights as publications, papers, internal communications, and IP patents;


• Perform other duties as assigned (to be less than 10% of the responsibilities listed above).

Pre-Requisites

• Must be eligible to obtain or maintain US Government Security Clearance

Minimum Requirements

• Advanced degree (Ph.D. or MS plus 1 year 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++);


• Strong 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.

Preferred Skills

• Published peer-reviewed journal articles employing data science simulation methods, approaches, applications, predictions, or dataset creation;


• Experience in physics, aerospace, and astrodynamics disciplines and research questions;


• 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.

These skills are guidelines, not hard and fast rules. You don’t have to meet every qualification listed - if your skills are transferable and you meet the minimum requirements, we encourage you to apply. 

Location: Remote, US

Classification:  Full-time Exempt

Compensation: $130,000-$200,000

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