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Lead Data Scientist Engineer

Dodano: Ponad miesiąc temu

Podstawowe informacje

Typ: Backend
Poziom: regular


Typ umowy: b2b, Umowa o pracę

Wymagane technologie /narzędzia


inne wymagania

Wykształcenie: wyższe techniczne

Benefity dla pracowników

  • Medical Coverage
  • VIP Medical Package
  • Foreign Travel Insurance
  • Life Insurance
Aktywność fizyczna
  • Multisport cards
  • Sabre Sailing Team
  • Football and Volleyball teams
  • Employee Assistance Program
  • Well-being application Headspace
Organizacja czasu i miejsca pracy
  • Remote/ hybrid work
  • Flexible working hours
  • Modern office on Tischnera Street
Budżet rozwojowy
  • LinkedIn Learning and Coursera access
  • GPD Learning and Certification
  • Communities of practice
  • Certification and Tuition Reimburstment
Przestrzeń biurowa
  • Car, Bike and Motorbike parking
  • Relax room and game room in the office
Dodatkowe benefity
  • Social Fund
  • Baby Bonus
  • Emergency Grant
  • Employee Capital Plans
  • Tax Deduction
  • Transportation Allowance
  • Referral Bonus
  • Floating Holidays
  • Paid Parental Leave
  • 4 day for volunteering
  • Say Thanks recognition program
Sabre Corporation is a leading technology provider to the global travel and tourism industry. Headquartered in Southlake, Texas, USA, Sabre operates offices in approximately 60 countries around the world. At Sabre, we make travel happen. Positioned at the center of the business of travel, our platform connects people with experiences that matter in their lives. Today, Sabre is creating a new marketplace for personalized travel. It is our people who develop and deliver powerful solutions that meet the current and future needs or our airline, hotel and travel agency customers. Join our journey! DATA SCIENCE ENGINEER Airline industry is going through a drastic transformation in the area of retailing and distribution that requires very advance data analytics support to optimize revenue performance and customer experience. Recently introduced concepts of Offer/Order Management and Continuous Dynamic Pricing significantly expand opportunities for engaging with travelers through multiple touch points and creating personalized offers accounting for individual preferences and market context. These practices can substantially benefit from a combination of statistical and machine learning techniques leveraging huge volumes and variety of consumer and competitive data available in airline industry. The Data Science Engineer applies expert level statistical analysis, data modeling, and predictive analysis on strategic and operational problems in airline industry. As a key member of the Sabre Operations Research team, you will leverage your statistical and business expertise to translate business questions into data analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences including internal and external clients, sales, and development team. In addition,  you will source data from multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc., develop and apply data mining and machine learning algorithms for advanced analysis and prediction. You will also utilize your strong communication skills to work with developers to support product development cycles and decision makers who need empirical data to promote sales and growth. Responsibilities: •    Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver in-sights and actionable prediction of customer behavior and operations performance. •    Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques. •    Develop custom data models and algorithms to apply to data sets and run proof of concept studies. •    Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms. •    Collaborate with software engineers to implement and test production quality code for AI/ML models. •    Develop processes and tools to monitor and analyze data accuracy and models’ performance. •    Demonstrate software to customers and perform value proving benchmarks. Calibrate software for cus-tomer needs and train customer for using and maintaining software. •    Resolve customer complaints with software and respond to suggestions for enhancements. Required Qualifications: •    Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning. •    Proven ability to apply modeling and analytical skills to real-world problems. •    Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.). •    Solid programming skills 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C++. •    Experience with deployment of machine learning and statistical models on a cloud: o    MLOps experience within the enterprise CI/CD process to implement Sabre CI/CD for ML models o    Experience deploying ML APIs in production environments in GCP using GKE Kubernetes Service o    Experience in using GCP Vertex AI for ML and BigQuery for Datawarehouse o    Knowledge in Terraform and Containers technologies o    Experience writing data processing jobs using GCP Dataflow and Dataproc o    Experience setting up ML model monitoring and autoscaling for ML prediction jobs o    Understanding of machine learning concepts to scale ML across different services by leveraging Fea-ture Store, Artifacts Registry Desirable Qualifications: •    Familiarity with airline, hospitality or retailing industries and decision support systems employed there. •    Experience developing customer choice models, price elasticity estimation and market potential estimation. •    Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts.
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