Principal Data Science Engineer (1/548)

C++
Data Science
Java
Python
R
SQL
PySpark

SUMMARY

💰 180 - 210 PLN/h (B2B) 

💰 20 800 - 24 400 PLN gross (UOP)

📍 Hybrid/Kraków or 100% remote

💼 Principal


PROJECT

The company is a leading global travel and tourism technology provider. The company serves customers in more than 160 countries around the world. Positioned at the center of the business of travel, the company's platform connects people with experiences that matter in their lives. Today, the company is creating a new marketplace for personalized travel. It is the company's people who develop and deliver powerful solutions that meet the current and future needs of the company's airline, hotel, and travel agency customers.


YOU WILL

  • Design, build, and oversee the deployment and operation of technology architecture, solutions, and software, to capture, manage, store, and utilize structured and unstructured data from internal and external sources
  • Establish and build processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately, and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required
  • Develop technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data and to maintain, defend, and update data structures and integrity on an automated basis
  • Create and establish design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flows, and storage requirements
  • Review internal and external business and product requirements for data operations and activity and suggest changes and upgrades to systems and storage to accommodate ongoing needs



MUST HAVE

  • 8+ years of professional experience
  • Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related quantitative disciplines
  • Proven ability to apply modeling and analytical skills to real-world problems
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Solid programming skills with knowledge of R, SQL, Python, PySpark, or other data-extraction and analysis tools and programming languages such as Java, JavaScript, or C++
  • Experience with the deployment of machine learning and statistical models on a cloud and leveraging services like Amazon SageMaker and Amazon Forecast
  • Knowledge of airline revenue management algorithms and experience in developing demand forecasting and price optimization models


NICE TO HAVE

  • 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


OUR OFFER

  • Possibility to attend internal and external training
  • Relocation package (4500 PLN total value), paid in three installments (1500 PLN per month)
  • Benefits: Extended medical care (over 2000 medical facilities in Poland, 80 in Kraków) for you and your family; Multisport Benefit card; Life insurance
  • Remote work option


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