Lowongan Data Scientist-PT Aero Systems Indonesia

Data Scientist-PT Aero Systems Indonesia

Tangerang (Banten) - Garuda City Center | Ditayangkan: 02-January-2018 | Tutup pada 01-February-2018

PT Aero Systems Indonesia (ASYST), formerly known as PT Lufthansa Systems Indonesia, was established in 2005. At the beginning, PT Garuda Indonesia (Persero) owned 51% shares in this company, while the remaining 49% was owned by Lufthansa Systems AG (LSY). On January 29, 2009 there was a transfer of share ownership from LSY to PT Aero Wisata.
 
ASYST is an Information Technology provider that focuses on transportation and travel industry. We have passion in assisting transportation and travel companies especially airlines in order to enhance their quality for their passangers. 
 
ASYST Products and Services covers Airline, Transportation and Travel Solutions, Infrastructure Hosting and Managed Services, System Integration and Software Development and also Business Consultancy. ASYST service covers within Indonesia region as well as all over the world.

  • Bring not just an analytics-orientation, but the ability to use analytics to drive key success metrics related to yield management and revenue generation,
  • Able to work with others to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues,
  • Collecting, manipulate, and analyze data using statistical techniques and provide ongoing reports,
  • Identify and interpret trends or patterns in a data set,
  • Conduct research and make recommendations that impact on the strategic business direction,
  • Ability and experience designing and developing solutions for increasing yield,
  • Proven mastery of analysis and development of online ad systems for consumer products and services.
  • Using skills and knowledge on mathematics, statistics, information technology, and computer science in developing application using machine learning, classification, cluster analysis, data mining, databases, and visualization,
  • Collect, and analyze complex/large data and log and provide preventive/predictions analysis combine with complex event processing to create automation applications/processes, creating automated anomaly detection systems and constant tracking of its performance
  • Able to bring structure to large quantities of formless data and make analysis possible,
  • Identify rich data sources, join them with other, potentially incomplete data sources, and clean the resulting set,
  • Help decision makers shift from ad hoc analysis to an ongoing conversation with data, make discoveries, and communicate and provide suggest its implications for new business direction, advise executives and product managers on the implications of the data for products, processes, and decisions,
  • Utilize their knowledge of statistics and modeling to convert data into actionable insights about everything from product development to customer retention to new business opportunities.
  • Conduct undirected research and frame open-ended indutry questions
  • Extract huge volumes of data from multiple internal and external sources
  • Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prespective modeling
  • Throughly clean and prune data to discard irrevelant information
  • Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities
  • Devise data-driven solutions to the most pressing challenges
  • Invent new algorithms to solve problems and build new tools to automate work
  • Communicate predictions and findings to management and IT departments through effective data visualizations and reports
  • Recommend cost-effective changes to existing procedures and strategies
 
Knowledge/Skills
  • Have both statistical modeling experience and engineering skills
  • Programming skills in Java, Phyton, C/C++, etc
  • Have strong interest in data statistical and logical modelling
  • Able to study formula and algorithm logic
  • Has experience using statistical packages to analyze data (Excel,R,SPSS,SAS,etc)
  • Strong analytical skills, great attention to detail, and good communication skills
  • Proficiency in using query languanges such as SQL,Hive,Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra,HBase
  • Math (e.g linear algebra, calculus and probability)
  • Statistics (e.g hypothesis testing and summary statistics)
  • Machine learning tools andn techniques (e.g k-nearest neighbors, random forests, ensemble methods, etc)
  • Software engineering skills (e.g distirbuted computing, algorithms and data structures)
  • Data mining
  • Data cleaning and munging
  • Data visualization (e.g ggplot and d3.js) and reporting techniques
  • Unstructured data techniques
  • R and/or SAS languanges
  • SQL databases and databases querying languanges
  • Phyton (most common), C/CC++, Java
  • Big data platforms like Hadoop, Hive & Pig
  • Cloud tools like Azure, Amazon S3
Job Requirement
  • Bachelor/Master Degree majoring in applied Mathematics/Statistics/Industrial Engineering/Computer Science
  • At least 1 year experience in related field
  • Willing to work at Cengkareng - Soekarno-Hatta International Airport area
 
 

The proven skills and experience of our people, and complementary international partners, enable Asyst to successfully design, build, deliver and support information systems. We successfully demonstrate our commitment to execute, our desire to be proactive in addressing our clients' needs and how we help enterprises to gain a significant competitive advantage.
 
We are committed to earning the position of trusted adviser, addressing our clients' strategic business issues with Information and Technology services.
 

ALAMAT : PT Aero Systems Indonesia
PT Aero Systems Indonesia - Management Office, Pajang, Tangerang City, Banten, Indonesia

Syarat & Ketentuan lowongan Data Scientist-PT Aero Systems Indonesia

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