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Sr. Data Scientist

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.

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Average salary estimate

$172500 / YEARLY (est.)
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$155000K
$190000K

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What You Should Know About Sr. Data Scientist , Slingshot Aerospace

As a Sr. Data Scientist at Slingshot Aerospace, you will play a crucial role in a passionate team dedicated to accelerating space sustainability for a safer, more connected world. Your days will involve developing cutting-edge machine learning approaches and prototypes that transform complex datasets into invaluable insights across various business arenas. Here, creativity meets innovation, and you'll have the chance to design predictive models that power Slingshot's data science software products. You'll be part of a dynamic data science team, fostering a culture of collaboration as you identify and lead projects that convert data modeling insights into publications and actionable patents. We're seeking visionaries with an advanced degree in mathematics, data science, or a related field, backed by expertise in algorithm development and machine learning. If you have experience navigating the world of aerospace, enjoy working with multidisciplinary teams, and possess excellent communication skills, this role is perfect for you. The compensation ranges from $155,000 to $190,000 annually, and we value diversity as key to our success. Join us in our mission to shape the future of space sustainability, and together, let's make a difference!

Frequently Asked Questions (FAQs) for Sr. Data Scientist Role at Slingshot Aerospace
What are the main responsibilities of a Sr. Data Scientist at Slingshot Aerospace?

As a Sr. Data Scientist at Slingshot Aerospace, your main responsibilities will include developing machine learning algorithms and prototypes, creating predictive models for data science software products, and participating in a collaborative environment to derive insights and predictions from simulation-based datasets.

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What qualifications are required for the Sr. Data Scientist position at Slingshot Aerospace?

To qualify for the Sr. Data Scientist position at Slingshot Aerospace, candidates must hold an advanced degree (Ph.D. or MS with at least 2 years of experience) in mathematics, data science, or a related quantitative field, along with demonstrated proficiency in algorithm implementation and machine learning.

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How important is communication skills for a Sr. Data Scientist at Slingshot Aerospace?

Communication skills are extremely important for a Sr. Data Scientist at Slingshot Aerospace, as you will need to convey complex data insights effectively to various stakeholders, collaborate within multi-disciplinary teams, and contribute to publications and patents.

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What kind of team culture can a Sr. Data Scientist expect at Slingshot Aerospace?

At Slingshot Aerospace, a Sr. Data Scientist can expect a strong, collaborative team culture characterized by intellectual agility and innovation, where members actively support each other in delivering insights to tackle complex challenges in space sustainability.

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Does Slingshot Aerospace offer remote work options for the Sr. Data Scientist position?

Yes, the Sr. Data Scientist position at Slingshot Aerospace is fully remote, allowing you to work from anywhere within the United States, provided you reside in one of the specified states.

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Common Interview Questions for Sr. Data Scientist
Can you describe your experience with machine learning algorithms?

In responding to this question, share specific examples of machine learning projects you’ve worked on, focusing on the algorithms you used, the problems you solved, and the impact of your work in the given domain.

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How do you approach developing predictive models?

Discuss your methodology for developing predictive models, including data preprocessing, algorithm selection, validation techniques, and how you measure accuracy and success for those models.

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What is your experience with simulation modeling and analysis?

Provide examples of projects where you utilized simulation modeling, detailing the types of simulations you performed, the software or programming languages you used, and the outcomes of those analyses.

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How do you handle working in a multidisciplinary team?

Employ a narrative that describes how your communication and collaboration skills have contributed to successful projects, including any challenges you faced and how you overcame them with your team.

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What is the most challenging data science project you’ve worked on?

Narrate a specific project that posed significant challenges, explaining the obstacles you encountered, your approach to solving them, and any lessons learned that could be applied in future scenarios.

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Can you explain a complex concept to a non-technical audience?

Illustrate your ability to simplify complex technical ideas, perhaps using an analogy or straightforward language to bridge understanding for non-technical stakeholders.

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What are your preferred programming languages for data science tasks?

List your preferred programming languages such as Python, R, or Julia, and explain why you favor them, citing specific use cases or projects where you effectively utilized these languages.

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How do you stay updated with the latest trends in data science and AI?

Share the resources you use, such as academic journals, online courses, workshops, or conferences, to stay abreast of advancements in data science, AI, and aerospace applications.

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Describe a situation where you had to lead a data science initiative.

Provide a detailed account of a project where you took the lead, outlining your responsibilities, challenges faced, strategies implemented, and the overall outcome of the initiative.

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What does 'data-driven decision making' mean to you?

Convey your understanding of data-driven decision making by discussing its importance in the data science field, along with examples of how you’ve implemented data-driven practices in past projects.

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Our vision is to accelerate space sustainability to create a safer, more connected world.

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Full-time, remote
DATE POSTED
December 7, 2024

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