3 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Senior Data Scientist (MLOPS)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior Data Scientist (MLOPS) (AI/ML and aviation): Building and productionizing models for flight-delay prediction, maintenance planning, crew scheduling, and operational decision-making with an accent on robust machine learning systems, real-time data, and large-scale optimization. Focus on analyzing flight data, deploying models into live environments, and developing testing, monitoring, and maintenance workflows.
Location: Amsterdam, Noord-Holland, Netherlands; hybrid work from home and the Amsterdam office
Company
provides technology and data services, with this role supporting aviation-focused data science and machine learning initiatives.
What you will do
- Extract insights from fast-growing operational and flight data sources.
- Build and productionize AI and machine learning models for flight-delay prediction, maintenance planning, and crew scheduling.
- Contribute to large-scale optimization and simulation projects.
- Develop tools that make operational processes more transparent for planners and crews.
- Work with real-time data and smart calculations to improve passenger and crew experiences.
- Test, monitor, maintain, and improve models running in live production environments.
Requirements
- Background in Data Science, Business Analytics, or Operations Research.
- 4β6 years of experience as a Data Scientist or in Machine Learning.
- Hands-on experience with modeling and analysis, as well as putting machine learning models into production.
- Knowledge of open-source technologies such as Spark, Kafka, Airflow, or Kubernetes.
- Customer-focused, results-oriented approach and willingness to learn while solving challenging problems.
Culture & Benefits
- 25 vacation days.
- Technical training and weekly Innovation Days throughout the year.
- Challenging assignments.
- MacBook and iPhone.
- Lunches, coffee, and a snack bar.
Hiring process
- First interview with a recruitment consultant.
- Technical interview with a technical lead.
- Application process targeted to take 1β3 weeks from application to offer.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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