Sr. Data Scientist

Posted 7 Days Ago
Hiring Remotely in United States
Remote
155K-190K Annually
Mid level
Aerospace
The Role
As a Senior Data Scientist at Slingshot, you will develop machine learning algorithms, create predictive models, build simulation datasets, and lead data science product development. You will collaborate within a diverse team to deliver insights and publications that contribute to space sustainability solutions.
Summary Generated by Built In

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: 

  • 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)


Pre-Requisites

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


Minimum Requirements

  • 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


Preferred 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

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: $155,000 - $190,000 annually

US-based Candidates: we are currently only able to hire residents of the following U.S. states: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, and WI. We are unable to consider candidates residing in other U.S. states at this time.

Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time.

Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and we embrace individuality.

Top Skills

C
C++
Java
Julia
Kotlin
Python
The Company
HQ: Colorado Springs, CO
150 Employees
Hybrid Workplace
Year Founded: 2017

What We Do

Slingshot Aerospace builds world-class space simulation and analytics solutions. We are driven by our vision of accelerating space sustainability to create a safer, more connected world.

Space is increasingly complex due to the exponential growth of global launch activity, the proliferation of new data sources, and the ever-growing body of new satellites and debris. Organizations are making mission-critical decisions in this high-risk environment and they need the right information at the right time. Slingshot Aerospace empowers government and commercial space organizations to better design, manage, and safeguard their assets, as well as mitigate risks, to ensure safe and reliable operations for all space-faring users.

We are achieving this by bringing the space domain into the digital environment and fusing together data from different sources to provide a full, dynamic orbital picture. In doing so, Slingshot Aerospace customers can make decisions at the speed of relevance and achieve clarity in complex environments.

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