Data Scientist Airvoyant

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 into production-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

Required Skills and Qualifications

• Bachelors degree in engineering Mathematics Statistics Machine Learning Analytics Information Systems or a related quantitative field; Masters degree strongly preferred
• 57 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.