Senior Operations Research
Date: Jan 29, 2020
Location: Bangalore, IN, 560066
Company: Sabre
Req ID: 50405
Job Family: Information Technology/Software Development
Operating in 29 markets across Asia Pacific, with over 2000 local staff, serving premium top blue-chip customers in the travel industry - from travel agencies, airlines, hotels, car rentals and insurance providers. Sabre have grown our presence significantly over the years, in order to tap on the immense potential of the world’s fast growing region. Sabre’s end-to-end technologies help create a differentiated portfolio of solutions and services driven by data and insights on how travel business operates in Asia Pacific. We help our travel partners create better customer experiences, optimise business operations and enhance competitiveness. As we continue to grow in the region, our people are AND will always be our biggest asset & investment, where we continue to bring together the best talent and help them achieve their own career aspirations in a truly global company.
The Senior Data Scientist applies expert level statistical analysis, data modeling, and predictive analysis on strategic and operational problems in airline business. As a key member of the Sabre AirVision 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.
Required Qualifications
- Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, Econometrics, Physics or related Quantitative disciplines (or equivalent level of experience)
- Demonstrated ability to apply modeling and analytical skills to real-world problems (preferably logistics and transportation related problems)
- Expert-level fluency in applying advance multivariate statistical analysis (logistic & linear regression, decision tree, cluster analysis, and ANOVA) to categorize, classify, and detect data relationship in large datasets (not fitting memory)
- Experience with applying complex business logics to extract and cleanse large datasets from different data sources (xml, txt, xls, sql, etc)
- Solid programming skills with knowledge of R, SAS, SQL, Python or other data-extraction and analysis tools and programming languages such as Java
- Ability to understand complex business requirements and define KPIs to measure benefits and communicate complex quantitative analysis in a clear, precise, and actionable manner
Desired Skills and Experience
- Masters or PhD Degree in relevant field. Candidates with Bachelors degree with 3+ years of experience in relevant fields are also eligible.
- Able to read research articles and develop new statistical and optimization algorithms to fit our business needs
- Knowledge in Business Intelligence (ETL, Data staging, OLAP), and able to quickly learn and program new tools for multi-dimensional data visualization and decision support.
Sabre Corporation is the leading technology provider to the global travel industry. Sabre’s software, data, mobile and distribution solutions are used by hundreds of airlines and thousands of hotel properties to manage critical operations, including passenger and guest reservations, revenue management, flight, network and crew management. Sabre also operates a leading global travel marketplace, which processes more than US$120 billion of global travel spend annually by connecting travel buyers and suppliers. Headquartered in Southlake, Texas, USA, Sabre serves customers in more than 160 countries around the world.
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