Data Scientist

Saalex Corporation

Data Scientist supporting mission-critical programs at Saalex. Developing analytical models and transforming datasets into actionable insights for engineering and operational teams.

Posted 5/28/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $167,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLNumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

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
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
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
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

Requirements

What you’ll need

Experience supporting DoD, aerospace, or government programs strongly preferred
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.)
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
Strong statistical analysis and modeling experience
Ability to translate complex data into actionable insights
Demonstrated problem-solving skills in ambiguous or evolving environments
Ability to work effectively within cross-functional teams and IPT structures
Strong verbal and written communication skills
Experience briefing technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related technical field, or equivalent practical experience required.
Active Secret Clearance required.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonNumPyPandasScikit-learnTensorFlowPyTorchSQLdata visualizationETL processesmachine learning

Soft Skills

problem-solvingcommunicationcollaborationanalytical thinkingadaptabilitystakeholder engagementdocumentationpresentation skillscross-functional teamworktranslating complex data

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Software EngineeringBachelor's degree in Information TechnologyActive Secret Clearance