Match score not available

Sr. Data Scientist

Remote:

Full Remote

Salary:

155 - 190K yearly

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Advanced degree (Ph.D. or MS) in mathematics, data science, physics, or related field, 2 years of relevant experience, Proficiency in machine learning and programming languages like Python, Java, Expert-level understanding of algorithm development..

Key responsabilities:

Develop machine learning approaches and algorithms
Create predictive models for data science products

Slingshot Aerospace Information Technology & Services Scaleup https://slingshotaerospace.com/

51 - 200 Employees

See more Slingshot Aerospace offers

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:

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

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, 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.

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.