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From Home Aerospace Data Science Jobs (NOW HIRING)

Valtech

Data Science Consultant

Plano, TX · Hybrid

$153K/yr

Valtech Solutions - Plano, TX needs a Data Science Consultant to refactor, optimize and automate ... Telecommuting and working from home permitted. Salary $153,160/yr. Send resumes to nam.recruitment ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... from engineers to executives, and build robust solutions in environments where data quality ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for a Data Science Engineer with a background in applied machine learning ... You may have the flexibility to work from home one or more days per week. These positions will be ...

Paylocity

Manager Data Science

Schaumburg, IL · On-site

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

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LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

You may have the flexibility to work from home one or more days per week. You will * Under the guidance of senior team members, apply machine learning and data science algorithms to help analyze ...

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All JobsAerospace Data Science JobsFrom Home Aerospace Data Science Jobs

From Home Aerospace Data Science information

What are some common challenges faced by remote aerospace data scientists, and how can they be addressed?

Remote aerospace data scientists often encounter challenges related to collaboration and data security, as sensitive aerospace data may require strict access controls. Communication with multidisciplinary teams can also be more complex when working from home, making proactive engagement through virtual meetings and project management tools essential. To succeed, it's important to establish clear communication channels, leverage secure remote access solutions, and stay updated on industry-specific data privacy protocols. Regularly participating in virtual team meetings and contributing to shared documentation can help maintain alignment and foster a collaborative work environment.

What is a 'From Home Aerospace Data Science' job?

A 'From Home Aerospace Data Science' job involves working remotely to analyze and interpret complex data related to aerospace engineering, aviation, or space exploration. Professionals in this role use statistical methods, machine learning, and programming to extract insights from large datasets, which can help improve aircraft design, optimize flight operations, or advance space technologies. They collaborate with engineers, researchers, and other stakeholders, often using tools like Python, R, and specialized aerospace software, all while working from a home office. This position typically requires strong analytical skills, a background in data science, and knowledge of the aerospace industry.

What are the key skills and qualifications needed to thrive as a Work-From-Home Aerospace Data Scientist, and why are they important?

To thrive as a Work-From-Home Aerospace Data Scientist, you need a solid background in statistics, machine learning, and aerospace engineering, typically supported by a degree in a related field. Proficiency in programming languages like Python or R, experience with data analysis platforms, and familiarity with aerospace-specific simulation tools and cloud computing environments are essential. Strong problem-solving abilities, self-motivation, and effective remote communication skills distinguish top performers in this role. These competencies are crucial for extracting actionable insights from complex aerospace datasets and collaborating effectively with distributed teams.

What is the difference between From Home Aerospace Data Science vs From Home Aerospace Data Analyst?

AspectFrom Home Aerospace Data ScienceFrom Home Aerospace Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, often collaborative with data science teams; focus on modeling and predictive analyticsRemote or hybrid; focus on data interpretation, reporting, and supporting decision-making
Employer & Industry UsageUsed by aerospace companies for advanced analytics, modeling, and researchUsed for operational reporting, trend analysis, and supporting aerospace project teams

While both roles involve working with aerospace data remotely, Data Scientists focus on developing models and algorithms, whereas Data Analysts interpret data and generate reports. The choice depends on your skills in programming and modeling versus data interpretation and visualization.

More about From Home Aerospace Data Science jobs
What cities are hiring for From Home Aerospace Data Science jobs? Cities with the most From Home Aerospace Data Science job openings:
What are the most commonly searched types of Aerospace Data Science jobs? The most popular types of Aerospace Data Science jobs are:
What states have the most From Home Aerospace Data Science jobs? States with the most job openings for From Home Aerospace Data Science jobs include:
What job categories do people searching From Home Aerospace Data Science jobs look for? The top searched job categories for From Home Aerospace Data Science jobs are:
From Home Aerospace Data Science jobs near you
Infographic showing various From Home Aerospace Data Science job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, 3% Contract, and 2% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.
Data Science Specialist

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Posted 10 days ago

Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.