Junior Data Scientist at Airspace Intelligence

San Francisco, California, United States

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$65,000 – $85,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Regenerative Agriculture, Agriculture, AI, Machine LearningIndustries

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
Experience with PyTorch Lightning for building and training deep learning models
Understanding of deep learning architectures (e.g., CNNs, RNNs, transformers) and their application
Familiarity with data processing pipelines: data collection, cleaning, transformation, and feature engineering
Proficiency in Python and relevant libraries (NumPy, pandas, scikit-learn, PyTorch)
Knowledge of machine learning best practices such as model evaluation, cross-validation, and hyperparameter tuning
Strong analytical and problem-solving skills
Ability to communicate technical concepts to both technical and non-technical audiences

Responsibilities

Build, train, and evaluate deep learning models using PyTorch Lightning
Design and implement data processing pipelines for structured and unstructured data, ensuring data quality and integrity throughout the workflow
Apply and compare current and historical deep learning architectures to support sustainable solutions in agriculture
Preprocess, clean, and analyze data to extract meaningful insights and prepare datasets for modeling
Collaborate with cross-functional teams to deliver actionable insights
Document workflows, model architectures, and experimental results for reproducibility and knowledge sharing
Present findings and recommendations to stakeholders using clear visualizations and reports

Skills

Key technologies and capabilities for this role

PyTorch LightningDeep LearningData Processing PipelinesModel TrainingModel EvaluationData PreprocessingData CleaningData Analysis

Questions & Answers

Common questions about this position

What is the salary range for the Junior Data Scientist position?

The base salary range is $65,000 to $85,000 annually.

Is this role remote or hybrid, and where is it located?

The position is hybrid and located in San Francisco, CA / Berkeley.

What key skills are required for this Junior Data Scientist role?

Required skills include experience with PyTorch Lightning, understanding of deep learning architectures like CNNs, RNNs, and transformers, proficiency in Python with libraries such as NumPy, pandas, scikit-learn, and PyTorch, and familiarity with data processing pipelines.

What is the company culture like for this role?

The team values curiosity, collaboration, and continuous learning in a fast-moving, supportive environment with direct mentorship and cross-functional collaboration.

What makes a strong candidate for this Junior Data Scientist position?

A strong candidate holds a Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, and demonstrates hands-on experience with PyTorch Lightning, deep learning architectures, data pipelines, and Python libraries, along with strong analytical skills.

Airspace Intelligence

Software solutions for aerospace and defense

About Airspace Intelligence

Airspace Intelligence provides software solutions for the aerospace and defense sectors, working closely with US and allied government agencies and major airlines. Their main product is software that improves the efficiency and effectiveness of air operations, supporting everything from air operations centers to the flight deck. Unlike many competitors, ASI focuses on creating specialized software tailored to the unique needs of their clients, which include both governmental and commercial entities. The company's goal is to enhance decision-making capabilities in high-stakes environments while expanding their team with motivated individuals ready to address significant challenges.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$33.1MTotal Funding

SERIES_BCompany Stage

Aerospace, DefenseIndustries

51-200Employees

Risks

Emerging AI-driven aerospace companies threaten ASI's market share.

Rapid AI advancements may outpace ASI's current capabilities, requiring continuous R&D investment.

Potential regulatory changes in AI usage could impose new compliance costs on ASI.

Differentiation

ASI partners with major airlines and government agencies for airspace safety.

Their Flyways AI platform optimizes flight routes, reducing fuel consumption and emissions.

ASI's software enhances decision-making in high-stakes aerospace and defense environments.

Upsides

Increased focus on AI-driven air traffic management boosts ASI's market potential.

Growing trend of digital twins offers new opportunities for ASI's simulation solutions.

AI integration in predictive maintenance aligns with ASI's technological advancements.

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