Data Scientist - Airvoyant

Fully Remote - Miami

Description

We are building the next generation of data-driven aviation software to transform aircraft maintenance and operational performance. Our customers include airlines, MROs, and aviation vendors seeking more efficient, intelligent, and cost-effective solutions to manage complex operations.

We are looking for an experienced Data Scientist to lead the development of advanced analytics, machine learning models, and data products that deliver measurable business impact. This role will be instrumental in converting complex data into scalable solutions, predictive insights, and intelligent automation used by both internal teams and external clients.

You will work cross-functionally with product, engineering, marketing, and business leaders to shape strategy, optimize performance, and accelerate innovation across our platform.

Responsibilities

Extract, analyze, and interpret complex structured and unstructured datasets to generate actionable insights for internal stakeholders and external clients

Lead the design, development, validation, and deployment of predictive, statistical, and machine learning models that solve high-impact business problems

Design and implement data models and algorithms supporting forecasting, optimization, anomaly detection, personalization, and decision automation

Partner with product, engineering, and business teams to identify high-value opportunities where data science can drive measurable outcomes

Translate analytical insights intoproduction-grade data products, APIs, and scalable solutions

Design and execute experiments (A/B testing, hypothesis testing) and deliver clear, data-driven recommendations

Develop dashboards, visualizations, and self-service analytics tools to democratize insights across technical and non-technical users

Analyze data to improve product performance, operational efficiency, customer experience, and revenue outcomes

Evaluate new data sources and data collection methodologies to ensure quality, accuracy, and relevance

Build frameworks and processes to monitor model performance, drift, and data integrity over time

Document methodologies, assumptions, and results to ensure transparency, reproducibility, and knowledge sharing

Communicate insights and recommendations effectively to senior leadership and cross-functional stakeholders

Requirements

Required Skills and Qualifications

Bachelor's degree in engineering, Mathematics, Statistics, Machine Learning, Analytics, Information Systems, or a related quantitative field; Master's degree strongly preferred

5-7+ years of experience in data science, advanced analytics, or related roles delivering production-grade data solutions

Advanced proficiency in Python for data analysis and machine learning (pandas, NumPy, scikit-learn, XGBoost, etc.)

Expert-level SQL skills for complex data querying, transformation, and performance optimization

Strong experience with machine learning techniques, including supervised/unsupervised learning, feature engineering, and model evaluation

Solid foundation in statistics, including experiment design, hypothesis testing, and inferential analysis

Experience with big data technologies and distributed systems (Spark, Hadoop, Hive, Presto, etc.)

Hands-on experience with containerization and environment management (Docker, Conda) and modern data pipelines

Proven track record of deploying and maintaining models in production environments

Experience with cloud platforms (AWS, Azure, or GCP) for data and ML workloads

Experience with data visualization / BI tools (Tableau, Power BI, or similar)

Strong communication skills with the ability to translate complex analyses into clear business insights

Preferred Skills and Qualifications

Experience in aviation, MRO, ERP, or operations-heavy industries

Familiarity with time-series analysis, predictive maintenance, or reliability modeling

Experience building real-time or streaming analytics systems

Exposure to ML Ops practices, including model monitoring, versioning, and lifecycle management

Experience in integrating models into customer-facing products or APIs

Hands-on experience with Amazon Redshift for data warehousing, high-performance querying, and large-scale analytics

Experience building dashboards and business intelligence solutions using Amazon QuickSight (or similar tools such as Tableau, Power BI)

Familiarity with digital analytics tools (e.g., Google Analytics, Adobe Analytics)

Understanding of regulated or compliance-driven environments

Job Type:Full-Time / Salaried

Job Level:Mid-Senior

Job Location:Miami preferred (or Dallas considered)

Remote:Yes

Travel:Less than 10%

TRAX USA Corp is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, disability, veteran status, and other protected characteristics. We maintain a drug-free and tobacco-free workplace and perform pre-employment background checks.

Trax USA Corp.

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