Назад
Company hidden
3 дня назад

Senior Data Scientist (MLOPS)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Netherlands
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
/
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

hirify.global 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.
  • 4–6 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 1–3 weeks from application to offer.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’