Data Scientist (Onsite)

Role Overview

We are looking for an experienced Data Scientist who can bridge the gap between advanced predictive modeling, business intelligence, and complex aviation MRO operations. In this role, you will lead the architecture of our BI applications, spearhead our machine learning initiatives, and build robust data standards for our jet engine overhaul workflows.

What You Will Do

Key Responsibilities: Web & Business Analytics, BI Architecture Leadership, Standards & Governance, Performance Optimization, Quality Metrics & Testing, Technology Scouting, Strategic Insights, Data Science & Machine Learning, Predictive Modeling, Analytical Standards, Data Pipeline Management, Model Validation, Operational Problem Solving.

Why It Might Be a Fit

Qualifications You Must Have: Advanced degree and 3+ years of experience in Data Science, Advanced Business Analytics, Technology and Machine Learning, preferably within Manufacturing, Aerospace, supply chain, or an FAA-regulated environment; OR Bachelor’s degree and 5+ years of relevant industry experience.

Requirements

• Advanced degree and 3+ years of experience in Data Science, Advanced Business Analytics, Technology and Machine Learning, preferably within Manufacturing, Aerospace, supply chain, or an FAA-regulated environment; OR Bachelor’s degree and 5+ years of relevant industry experience
• Advanced degree in Data Science, Computer Science, Statistics, Analytics, Engineering, Economics, Finance, or a related quantitative field
• Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL)
• Demonstrated success in data cleaning, exploratory data analysis, and deploying production-level predictive models
• Familiarity with enterprise database systems, data warehousing, and ETL/ELT pipelines
• Extensive hands-on experience with Databricks for big data processing, collaborative analytics, and managing machine learning pipelines.
• Familiarity with Solumina databases and manufacturing execution system (MES) data structures to track shop floor assembly, repair, and quality workflows.
• Experience integrating and querying SAP databases (e.g., SAP ERP/S/4HANA) for resource planning, supply chain, and inventory insights.
• Expertise in Power BI for designing executive dashboards, interactive visual reports, and optimizing enterprise business intelligence applications.

Benefits

• Medical
• Dental
• Vision
• Life insurance
• Short-term disability
• Long-term disability
• 401(k) match
• Flexible spending accounts
• Flexible work schedules
• Employee assistance program
• Employee Scholar Program
• Parental leave
• Paid time off
• Holidays

Tagged as: Data Analysis, Pipeline Management, Power BI, Python, SQL