Data Scientist Asc - E1

Lockheed Martin; Aurora (CO); On-site; USD 75,000 - 140,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Flexible work arrangements

401(k) match

Paid time off

Holidays

Parental Leave

EAP

FSA

Education Assistance

Life Insurance

Short-Term Disability

Long-Term Disability

Incentives

Job summary

Lockheed Martin Space seeks a Data Scientist to conduct exploratory research, statistical analysis, and machine learning to support mission outcomes. You will engage with customers, translate priorities into technical strategies, and develop models that improve future mission effectiveness.

The role requires strong communication, the ability to work with senior management, and a TS/SCI clearance. Responsibilities include creating collection plans, maintaining requirements documentation, and

Qualifications

• Demonstrated ability to cultivate and develop effective customer relationships and to work with senior technical management.
• Ability to learn and troubleshoot complex systems.
• Basic programming skills using UNIX/LINUX.
• Active TS/SCI clearance with CI polygraph.
• Experience with customer-facing programs involving complex systems, software development, and issue resolution.
• Experience presenting results to leadership.

Responsibilities

• Engage with customers to translate collection priorities into technical strategies and assess performance.
• Develop requirement traceability matrices linking customer needs to capabilities and performance parameters.
• Analyze customer feedback and results to refine planning models for mission effectiveness.
• Collaborate with customers to create collection plans that maximize value within constraints.
• Maintain documentation of customer requirements and preferences across missions.

Skills

Customer Relationships

Complex Systems

UNIX/Linux

TS/SCI clearance

Leadership/Communication

Education

Bachelor's degree

Job description

Data Scientist position at Lockheed Martin Space focused on exploratory research, statistical analysis, and machine learning to support mission outcomes.

Responsibilities

• Engage with customers to understand and translate collection priorities into technical strategies, then assess strategy performance.
• Develop requirement traceability matrices that connect customer needs to specific capabilities and performance parameters.
• Analyze customer feedback and collection results to refine planning models and improve future mission effectiveness.
• Collaborate with customers to create collection plans that maximize value within operational constraints.
• Maintain documentation of customer requirements, constraints, and preferences to support consistency across missions.
• Review historical collection data to identify coverage gaps and recommend configurations to address shortfalls.
• Act as a technical liaison between customers and engineering teams to ensure requirements are implemented correctly.
• Conduct exploratory research and analysis to find novel and meaningful patterns in data.
• Apply statistical methods to reject or accept hypotheses regarding relationships or latent predictive factors discovered through the work.
• Use tools and numerical computing systems such as GPU processing, distributed computing, highly parallel coding, and cloud computing to deliver results.
• Work with datasets using applied statistics and machine learning algorithms, including exploratory data analysis to identify relationships, patterns, and trends.
• Develop predictive models and new algorithms to address data and business problems.
• Interpret model outputs using knowledge of math and statistics, and provide actionable recommendations supported by effective visualizations.

Requirements

• Demonstrated ability to cultivate and develop effective customer relationships and to work with senior technical management.
• Ability to learn and troubleshoot complex systems.
• Basic programming skills using UNIX/LINUX.
• Active TS/SCI clearance with CI polygraph.
• Previous experience working with a customer base on programs involving complex systems, software development, and issue resolution.
• Experience conducting technical investigations and presenting results to a leadership team.
• Strong organizational and communication skills.
• Strong analytical and problem-solving skills.
• Enjoys teamwork and collaborating with people across different functions.
• Ability to work effectively in a fast-paced, rapidly changing environment.
• Bachelor's degree from an accredited college in a related discipline, or equivalent experience/combined education.

Technologies

• UNIX/LINUX
• GPU processing
• Distributed computing
• Highly parallel coding
• Cloud computing
• Machine learning
• Visualization
• System modelling and simulation
• Text mining
• Natural language processing
• Deep learning
• Optimization

Benefits

• Medical
• Dental
• Vision
• Flexible work arrangements and schedules (e.g., 4x10)
• 401(k) match
• Paid time off
• Holidays
• Parental Leave
• EAP
• Flexible Spending Accounts
• Education Assistance
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• Annual short-term and/or long-term incentive compensation programs may be offered depending on the position

Pay information

• Full-Time Salary Range: $75,400 - $140,000 per year
• Salary range listed on the requisition

Location: Aurora, CO (onsite)

Clearance: Active TS/SCI with CI polygraph