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Aerospace Data Science information

See Colorado salary details

$22.1K

$104.1K

$193K

How much do aerospace data science jobs pay per year?

As of Jul 28, 2026, the average yearly pay for aerospace data science in Colorado is $104,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,656.00 and $145,436.00 per year, depending on experience, location, and employer.

What types of projects do Aerospace Data Science professionals typically work on?

As an Aerospace Data Science professional, you may work on a wide range of projects including optimizing flight operations, predicting maintenance needs through data analytics, analyzing sensor data from aircraft or spacecraft, and enhancing safety or performance using machine learning models. You'll often collaborate with engineers, pilots, and software developers to translate large datasets into actionable insights. Depending on the organization, your work could involve designing and implementing algorithms, automating processes, or improving simulation accuracy for research and development. This dynamic role offers the opportunity to contribute to technology advancements and directly impact operational efficiency and safety in the aerospace sector.

What are the key skills and qualifications needed to thrive in the Aerospace Data Science position, and why are they important?

Aerospace Data Science professionals require strong analytical skills, experience with statistical modeling, machine learning, and a solid background in aerospace engineering or a related technical field. Proficiency in programming languages such as Python or MATLAB, familiarity with data visualization tools, and knowledge of aerospace data systems like flight data recorders or simulation platforms are highly valued. Excellent problem-solving abilities, clear communication, and the ability to collaborate across multidisciplinary teams set candidates apart. These competencies enable effective interpretation of complex aerospace data, drive innovation, and support critical decision-making in a highly technical industry.

What is an Aerospace Data Science job?

An Aerospace Data Science job involves applying data science techniques to analyze, interpret, and optimize aerospace systems. Professionals in this field work with large datasets from satellites, flight sensors, simulations, and maintenance logs to improve aircraft performance, safety, and efficiency. They use machine learning, statistical modeling, and AI to support decision-making in areas like predictive maintenance, navigation, and space exploration. The role requires expertise in both aerospace engineering principles and data science methodologies.

What are popular job titles related to Aerospace Data Science jobs in Colorado? For Aerospace Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Aerospace Data Science jobs in Colorado look for? The top searched job categories for Aerospace Data Science jobs in Colorado are:
What cities in Colorado are hiring for Aerospace Data Science jobs? Cities in Colorado with the most Aerospace Data Science job openings:
Aerospace Data Science jobs near you
Infographic showing various Aerospace Data Science job openings in Colorado as of July 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $104,131 per year, or $50.1 per hour.
Data Scientist - Business Intelligence (Decision Science Focus)

Data Scientist - Business Intelligence (Decision Science Focus)

Keysight Technologies, Inc.

Colorado Springs, CO

$164K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

49th of 156 rated electronics manufacturers

Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.


Responsibilities
  • Own end-to-end BI solutions, including data modeling, pipelines, semantic layers, and reporting using Microsoft Fabric, Power BI, and Snowflake
  • Design and deliver high-impact dashboards and self-service analytics that serve as the single source of truth for business performance across stakeholders
  • Partner with product managers, finance, and operations as a decision advisor, translating business questions into structured analytical approaches
  • Integrate and analyze data from enterprise systems such as Salesforce, ERP platforms, and other internal and external sources to create unified business views
  • Perform deep-dive analysis to identify drivers of revenue, growth, margin, and product adoption
  • Identify business inflection points, risks, and opportunities, and communicate clear recommendations
  • Define and standardize KPIs, metrics, and data definitions to align teams on a consistent view of performance
  • Improve data quality, governance, and consistency across the BI ecosystem
  • Translate complex analysis into clear, compelling business narratives for technical and non-technical audiences
  • Apply AI and generative AI tools — including AI capabilities within Microsoft Fabric, Power BI, and Snowflake — to accelerate exploratory analysis, surface patterns at scale, and enhance the quality of business narratives delivered to stakeholders

Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field
  • 2–5 years of experience in business intelligence, analytics, or applied data science, with demonstrated ability to independently drive projects and influence stakeholders
  • Advanced proficiency in Power BI, including data modeling, DAX, and dashboard development
  • Experience with modern data platforms such as Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or equivalent
  • Strong SQL skills for complex data extraction, transformation, and integration
  • Solid understanding of data modeling concepts (e.g., star schema, semantic models) and BI architecture best practices
  • Strong business acumen, including understanding of revenue drivers, funnel metrics, customer segmentation, and product performance
  • Ability to translate data into actionable insights and communicate effectively with business stakeholders

Preferred Qualifications

  • Experience with Python for data analysis
  • Familiarity with data pipeline and ETL/ELT tools
  • Experience optimizing large-scale datasets and dashboard performance
  • Experience working with Salesforce or similar CRM systems, including pipeline or funnel analytics
  • Understanding of statistical methods and their application in business contexts
  • Familiarity with AI/ML concepts and tools, including generative AI for analytics workflows; experience building predictive models or applying machine learning to business problems is a plus

Visa sponsorship is not available for this role. 

Most offers will be between the minimum and the midpoint of the Salary Range listed below.

MIN $79,860.00 - MAX $164,830.00

Note: For other locations, pay ranges will vary by region

US Employees may be eligible for the following benefits:

  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)

#LI-MO1

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Qualifications:
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field
  • 2–5 years of experience in business intelligence, analytics, or applied data science, with demonstrated ability to independently drive projects and influence stakeholders
  • Advanced proficiency in Power BI, including data modeling, DAX, and dashboard development
  • Experience with modern data platforms such as Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or equivalent
  • Strong SQL skills for complex data extraction, transformation, and integration
  • Solid understanding of data modeling concepts (e.g., star schema, semantic models) and BI architecture best practices
  • Strong business acumen, including understanding of revenue drivers, funnel metrics, customer segmentation, and product performance
  • Ability to translate data into actionable insights and communicate effectively with business stakeholders

Preferred Qualifications

  • Experience with Python for data analysis
  • Familiarity with data pipeline and ETL/ELT tools
  • Experience optimizing large-scale datasets and dashboard performance
  • Experience working with Salesforce or similar CRM systems, including pipeline or funnel analytics
  • Understanding of statistical methods and their application in business contexts
  • Familiarity with AI/ML concepts and tools, including generative AI for analytics workflows; experience building predictive models or applying machine learning to business problems is a plus

Visa sponsorship is not available for this role. 

Most offers will be between the minimum and the midpoint of the Salary Range listed below.

MIN $79,860.00 - MAX $164,830.00

Note: For other locations, pay ranges will vary by region

US Employees may be eligible for the following benefits:

  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)

#LI-MO1

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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