Slingshot Aerospace · 6 hours ago

Senior Data Scientist

United States

Full-time

Remote

Mid, Senior Level

$155K/yr - $190K/yr

2+ years exp

Maximize your interview chances

AerospaceAnalytics

No H1B

Security Clearance Required

Insider Connection @Slingshot Aerospace

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

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)

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningDeep LearningAlgorithm DevelopmentSimulation ModelingReinforcement LearningAgent-Based ModelingStochastic Data Set ConstructionPythonQuantitative ResearchJuliaJava/KotlinC/C++Data Science Software ProductsAerospace ResearchAI Algorithms Development

Required

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