AI summary
Data Scientist role at Saalex, an engineering and IT services company supporting mission-critical DoD programs at China Lake. You’ll build and deploy ML/statistical models, data pipelines, and dashboards to turn complex test and operational data into actionable insights for engineers, program teams, and government stakeholders. Standout perk: remote position with a strong benefits package.
Key skills
Python (NumPy, Pandas, scikit-learn)TensorFlow or PyTorchSQL & relational databasesMachine learning (classification, regression, clustering, NLP)ETL/data pipelines & feature engineeringData visualisation (Power BI, Tableau, Matplotlib, Seaborn)Cloud platforms (AWS or Azure) or on-prem DoD environmentsStatistical analysis & modellingActive Secret security clearanceDoD/aerospace/government program support
Pays $120k–$167k USD depending on experience, aligned with mid-to-senior Data Scientist roles supporting government programs.
You'll thrive here if you enjoy applying ML and analytics to real-world DoD test and evaluation problems and can clearly brief mixed technical and non-technical stakeholders.
Why apply
- Remote position
- Mission-critical DoD programs
- 401k/IRA and strong benefits
Saalex is seeking a Data Scientist in China Lake, CA. Saalex is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services.
Position Type: Full-Time
Work Location: This is a remote position.
We are seeking a highly motivated Data Scientist to support mission-critical programs at China Lake. This role will focus on developing and deploying advanced analytical models, supporting test and evaluation efforts, and transforming complex datasets into actionable insights for engineering, operational, and leadership teams.
Essential Functions:
Data Analysis & Modeling
Develop, implement, and maintain machine learning and statistical models to support mission and program objectives
Analyze large structured and unstructured datasets to identify trends, anomalies, and actionable insights
Apply predictive analytics, classification, and regression techniques to real-world operational problems
Technical Development
Build and optimize data pipelines, ETL processes, and feature engineering workflows
Develop data visualization dashboards and reporting tools to communicate findings to technical and non-technical stakeholders
Work with cloud or on-premise environments to deploy scalable data solutions
Mission & Program Support
Support test, evaluation, and analysis efforts for aviation, weapons systems, or mission systems programs
Provide data-driven recommendations to engineering teams, program managers, and government stakeholders
Interface with cross-functional teams including systems engineers, software developers, and analysts
Collaboration & Documentation
Collaborate across IPTs to translate mission requirements into analytical solutions
Document methodologies, models, and results in accordance with DoD and program standards
Present findings to stakeholders in a clear and concise manner
Reuquired:
Experience supporting DoD, aerospace, or government programs strongly preferred
Technical Skills:
Advanced proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
Strong experience with SQL and relational databases
Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn)
Solid understanding of machine learning techniques (classification, regression, clustering, NLP, etc.)
Data Engineering & Systems:
Experience building data pipelines and ETL processes
Familiarity with cloud platforms (AWS, Azure, or similar) or on-prem DoD environments
Understanding of data architecture and large-scale data processing
Analytical Skills:
Strong statistical analysis and modeling experience
Ability to translate complex data into actionable insights
Demonstrated problem-solving skills in ambiguous or evolving environments
Collaboration & Communication:
Ability to work effectively within cross-functional teams and IPT structures
Strong verbal and written communication skills
Experience briefing technical and non-technical stakeholders
Education:
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related technical field, or equivalent practical experience required.
Security Clearance:
Active Secret Clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc.
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Short Term & Long Term Disability
Training & Development
Wellness Resources
Stock Option Plan
Position Type: Full-Time
Salary
$120k-$167k (depending upon experience)Work Location: This is a remote position.
Job Summary
We are seeking a highly motivated Data Scientist to support mission-critical programs at China Lake. This role will focus on developing and deploying advanced analytical models, supporting test and evaluation efforts, and transforming complex datasets into actionable insights for engineering, operational, and leadership teams.
Essential Functions:
Data Analysis & Modeling
Develop, implement, and maintain machine learning and statistical models to support mission and program objectives
Analyze large structured and unstructured datasets to identify trends, anomalies, and actionable insights
Apply predictive analytics, classification, and regression techniques to real-world operational problems
Technical Development
Build and optimize data pipelines, ETL processes, and feature engineering workflows
Develop data visualization dashboards and reporting tools to communicate findings to technical and non-technical stakeholders
Work with cloud or on-premise environments to deploy scalable data solutions
Mission & Program Support
Support test, evaluation, and analysis efforts for aviation, weapons systems, or mission systems programs
Provide data-driven recommendations to engineering teams, program managers, and government stakeholders
Interface with cross-functional teams including systems engineers, software developers, and analysts
Collaboration & Documentation
Collaborate across IPTs to translate mission requirements into analytical solutions
Document methodologies, models, and results in accordance with DoD and program standards
Present findings to stakeholders in a clear and concise manner
Reuquired:
Experience
Experience supporting DoD, aerospace, or government programs strongly preferred
Technical Skills:
Advanced proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
Strong experience with SQL and relational databases
Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn)
Solid understanding of machine learning techniques (classification, regression, clustering, NLP, etc.)
Data Engineering & Systems:
Experience building data pipelines and ETL processes
Familiarity with cloud platforms (AWS, Azure, or similar) or on-prem DoD environments
Understanding of data architecture and large-scale data processing
Analytical Skills:
Strong statistical analysis and modeling experience
Ability to translate complex data into actionable insights
Demonstrated problem-solving skills in ambiguous or evolving environments
Collaboration & Communication:
Ability to work effectively within cross-functional teams and IPT structures
Strong verbal and written communication skills
Experience briefing technical and non-technical stakeholders
Education:
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related technical field, or equivalent practical experience required.
Security Clearance:
Active Secret Clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc.
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Short Term & Long Term Disability
Training & Development
Wellness Resources
Stock Option Plan