Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
- Understand the business of the customer and understand the main performance indicators that can be leveraged to improve activity or decrease costs
- Work closely with customer facing teams and the customers to identify and answer relevant customer questions using appropriate statistical techniques on available data.
- Drive the collection of new data, both internal and external, and ensure its accuracy. Drive the refinement of existing data sources.
- Communicate findings to all relevant internal and external contributors in a way that is accessible to each audience.
Must have:
- 2 years experience in a similar position
- Proficiency in English essential (written and spoken), second language much appreciated
- PhD or Masters graduates in Computer Science, Maths, Statistics, Electrical Engineering or Physics, with a focus on data mining, signal processing or machine learning
- Knowledge of Big Data technologies (Hadoop, MapReduce, Spark)
- Data discovery experience (using Python or R)
- Data visualization experience ( e.g. QlikSense, Tableau)
Nice to have:
- Experience with, Matlab, Scala with scoobi, ,Unix is a plus
- Knowledge of the travel industry and the distribution players (Online travel agents, Corporations, DMOs etc) is a plus.
The role of the data scientist is to participate in the identification, implementation and growth of the Travel Intelligence solutions for Distribution customers.
The data scientist is part analyst, part artist: comfortable working as a software engineer and a quantitative researcher; the Data Scientist is capable of staring at data and spotting trends, wanting to learn and bring change to an organization.
The data scientist explores and examines data from multiple disparate sources and sifts through all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. The data scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, then recommends ways to apply the data. The data scientist is inquisitive: exploring, asking questions, doing 'what if' analyses, questioning existing assumptions and processes. Armed with data and analytical results, the data scientist then communicates informed conclusions and recommendations across an organization's leadership structure.
