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Full Time Aerospace Data Science Jobs (NOW HIRING)

Data Science Manager

New York, NY · On-site

$210K - $230K/yr

You'll sit within our Data Science team, owning the direction of a group of talented data ... Lemonade's US base salary range for this full-time position is $210,000 - $230,000 plus equity ...

Director, Data Science

Fremont, CA · On-site

$169K - $338K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

You will receive the same orientation training as our full-time engineers, you will be matched with ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

General information Job Posting Title Data Science Manager Date Tuesday, May 12, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is seeking a Data ...

You will receive the same orientation training as our full-time engineers, you will be matched with ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

You will receive the same orientation training as our full-time engineers, you will be matched with ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

Data Science & Analytics Manager Company: The Boeing Company Summary: Boeing Commercial Airplanes ... Specific domain knowledge relevant to the aerospace industry and supply chain * Strong critical ...

Data Science & Analytics Manager Company: The Boeing Company Summary: Boeing Commercial Airplanes ... Specific domain knowledge relevant to the aerospace industry and supply chain * Strong critical ...

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and ...

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Full Time Aerospace Data Science information

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$37.5K

$122.7K

$196.5K

How much do full time aerospace data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time aerospace data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Aerospace Data Science vs Full Time Aerospace Data Analyst?

AspectFull Time Aerospace Data ScienceFull Time Aerospace Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; programming skills; knowledge of aerospace dataDegree in Data Analysis, Statistics, or related; proficiency in data tools; understanding of aerospace industry
Work EnvironmentResearch labs, aerospace companies, collaborative teamsOperational settings, reporting environments, aerospace firms
Employer & Industry UsagePrimarily in aerospace R&D, engineering, and product developmentIn aerospace operations, maintenance, and business analysis

Full Time Aerospace Data Science focuses on developing models and algorithms to analyze complex aerospace data, often involving machine learning and advanced analytics. In contrast, Full Time Aerospace Data Analysts interpret data to support decision-making, reporting, and operational improvements within aerospace organizations. Both roles require strong analytical skills but differ in technical depth and application focus.

What does a Full Time Aerospace Data Scientist do?

A Full Time Aerospace Data Scientist analyzes complex datasets related to the aerospace industry to help improve aircraft performance, flight safety, and operational efficiency. They use advanced statistical methods, machine learning, and programming skills to extract insights from data collected from satellites, aircraft sensors, and other aerospace systems. Their work often supports research and development, predictive maintenance, and optimization of aerospace operations. These professionals collaborate with engineers, software developers, and analysts to solve real-world challenges in aviation and space exploration.

What are some common challenges faced by Aerospace Data Scientists in a full-time position, and how can they be addressed?

Aerospace Data Scientists often work with large, complex datasets from simulations, flight tests, or sensor networks, which can present challenges in terms of data quality, integration, and security. Collaboration with multidisciplinary teams—including engineers, software developers, and project managers—is essential, and effective communication of data-driven insights is crucial for project success. Staying up-to-date with industry-specific regulations and advanced analytical tools can also be demanding but is necessary for career growth. Proactively seeking mentorship, participating in cross-functional meetings, and investing time in continuous learning can help overcome these challenges and foster professional development.

What are the key skills and qualifications needed to thrive as a Full Time Aerospace Data Scientist, and why are they important?

To thrive as a Full Time Aerospace Data Scientist, you need a strong background in statistics, machine learning, and aerospace engineering principles, typically supported by a degree in data science, engineering, or a related field. Proficiency with programming languages like Python or R, data visualization tools, and experience with aerospace simulation software and big data platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication skills set standout professionals apart in this role. These competencies enable accurate data analysis, the development of innovative solutions, and effective collaboration on complex aerospace projects.
More about Full Time Aerospace Data Science jobs
What are the most commonly searched types of Aerospace Data Science jobs? The most popular types of Aerospace Data Science jobs are:
What job categories do people searching Full Time Aerospace Data Science jobs look for? The top searched job categories for Full Time Aerospace Data Science jobs are:
Data Science Manager

Data Science Manager

Lemonade

New York, NY • On-site

$210K - $230K/yr

Full-time

Posted 16 days ago


Job description

Not your everyday company
Lemonade completely reinvented how insurance works. As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
At Lemonade, you'll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.
Unlike most publicly traded companies, we're nimble and efficient. We take pride in the fact that we still think and operate like a startup. We don't care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.
We're built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We don't like spending our days in meetings and we skip committees altogether. At Lemonade, there's no such thing as going over someone's head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.
As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.
Awarded 'best workplace'
Best Workplace and Best-Led Company by Inc. Magazine
"World Changing" by Fast Company
Recognized as a World Changing Idea by Fast Company Magazine
Ranked #1 Home insurance in America
Won best renters and homeowners insurance in America by US News, and others
Best Pet Insurance in America
Rated "Best Overall Pet Insurance" by Better Homes & Gardens
Rated 4.9 on the App Store
Among the highest rated apps of all time
What you're applying for
We're looking for an AI Data Science Manager to help lead the future of machine learning-driven pricing at Lemonade. You'll sit within our Data Science team, owning the direction of a group of talented data scientists while pushing the technical boundaries of how we build, ship, and scale ML solutions that directly shape our products.
We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
  • Lead a team of data scientists, setting technical direction and helping each person grow in their craft
  • Own projects end-to-end, from framing the business question all the way through to production
  • Build and ship machine learning and deep learning models that directly influence pricing decisions
  • Partner with actuaries and insurance managers and translate complex findings into clear, compelling narratives for internal stakeholders
  • Champion AI adoption across the business, inspiring teams to think differently about how data science can solve real problems
  • Contribute to the continued evolution of our ML infrastructure, tools, and best practices

What you'll need
  • 1-3 years of experience leading an R&D or Data Science team
  • 3+ years working as a data scientist, ideally at a startup or fintech company
  • A Master's degree or higher in Statistics, Computer Science, Mathematics, or a related field
  • Fluency in Python and/or R
  • Solid understanding of both relational and NoSQL databases
  • A track record of delivering high-scale, production-grade projects
  • Experience building insurance pricing models is a strong plus
  • Ready to work in an office environment most days of the week

Please note that we are unable to sponsor applicants for work visas.
Unfortunately, we cannot consider applicants from these states: Alaska, California, Colorado, Montana, Hawaii, New Mexico and Puerto Rico.
Lemonade's US base salary range for this full-time position is $210,000 - $230,000 plus equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Speak to your recruiter to hear more about the specific salary range for your preferred location.
Things to know...
Lemonade is an equal opportunity employer committed to diversity and inclusivity. We never discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you require reasonable accommodations due to religious beliefs, pregnancy, or disabilities, let us know at any time.