Senior Data Scientist

Summary

Join Slingshot Aerospace's Data Science team and contribute to accelerating space sustainability. You will develop machine learning approaches, create predictive models, and design data science products. This role requires an advanced degree in a quantitative discipline and experience in quantitative research, algorithm development, and machine learning. Preferred qualifications include peer-reviewed publications and aerospace research experience. The position is remote, full-time, and offers a competitive salary between $155,000 and $190,000 annually. The company values diversity and inclusion and is an equal opportunity employer.

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

Responsibilities

• Develop 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)

Preferred Qualifications

• 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

Benefits

• Remote work
• Compensation: $155,000 - $190,000 annually