Big Data Scientist for the Services Analytics Plateau (Aerospace)

Location: Manching, Germany; mobile working, flexible working hours, part-time options, job sharing, and sabbaticals are available.

Compensation: Attractive remuneration and individual additional benefits in accordance with current company guidelines.

Company

hirify.global develops aerospace products and digital analytics capabilities for aircraft and large-scale customer operations.

What you will do

• Identify high-value data analytics opportunities and support discovery through structured questions and exploratory analysis.
• Collect, transform, cleanse, link, and analyze aircraft sensor, maintenance, and fleet data.
• Prepare datasets for machine learning models, determine relationships between source attributes, and apply data mining and statistical techniques.
• Create and validate analytical and machine learning models, including health monitoring and predictive maintenance use cases.
• Develop Python prototypes and production code, Spark-based ELT pipelines, data products, and MCMC simulations.
• Present findings to stakeholders, support proofs of concept, and collaborate with engineering, design, governance, and support teams.

Requirements

• Master’s degree, ideally a PhD, in statistics, mathematics, computer science, physics, aerospace engineering, or a related field.
• Several years of relevant experience in data-driven projects, preferably in an Agile environment.
• Experience processing aircraft sensor, maintenance, fleet, ILS, or in-service data, preferably in aerospace health monitoring or predictive maintenance.
• Strong knowledge of statistical analysis, probability distributions, statistical tests, anomaly detection, and Bayesian inference.
• Experience with Spark, Spark-submit jobs, ELT pipelines, Python in production, DevOps, Unix/Bash, SQL, and databases.
• Fluent English is required; German is advantageous.

Nice to have

• PhD in a relevant technical or quantitative discipline.
• Experience with Spotfire, Streamlit, or Django visualization and frontend applications.
• Knowledge of aircraft or fleet data, Integrated Logistics Support, and in-service analytics.
• German language skills.

Culture & Benefits

• Agile Scrum working environment with international career perspectives and professional development opportunities.
• 30 days of annual leave based on the collective agreement and a 35-hour week.
• Flexible working hours, mobile working, part-time options, job sharing, and sabbatical opportunities.
• Company pension schemes, mobility offers including bike leasing, and corporate discounts.
• On-site company doctor, health programs, sports courses, preventive care, canteen, cafeteria, and selected-location childcare.
• Diverse international environment with more than 140 nationalities.