N° Référence: 67145 18375885
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Manager, Data Science (H/F)

Réf.: 67145 18375885

Purpose

The Data Science Manager will lead, assist, guide and motivate a team of Data Scientists. The Manager will be accountable on the team's activities, organization and services provided to customers. The Manager will also be also accountable for delivering main Data Science projects with special focus on scientific quality and agility. The Manager will also have a strong experience and knowledge of technical details of Data Science, being able to challenge and motivate the team on high quality work.

 

Data Scientists:

The Data Scientist is part analyst, part artist: comfortable working as a software engineer and a quantitative researcher. The Data Scientist most likely explores and examines data from multiple disparate sources. The Data Scientist 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.

 

Key accountabilities

Leadership responsibilities:

- Manage professional staff

- Accountable for the performance and results of a unit

- Assist, guide and motivate team members in their assigned functions

- Manage HR activity and procedures related to their area/department

- Ensure timely and appropriate communication to team members regarding organization information.

- Report on team activities

- Conduct annual appraisal interviews

- Development of their teams based on continuous assessment on needs

- Ensure efficiency of staff allocation, also in terms of quality and quantity

- Work independently and has significant latitude to solve problems

- Develop plans and priorities to address resource and operational challenges

- Fix and follow-up objectives for individuals in line with organizational goals

- Make decisions based on policies, procedures and business plan while receiving guidance from senior manager

- Provide guidance to employees, colleagues and customers

- Maintain technical, functional, business and commercial awareness

- Assess and carefully manage the impact of budget on business

- Interview and select candidates for department teams

- Provide input for salary reviews

 

Research and Innovation leadership:

- Guarantee scientific quality of the deliveries of the team following a (scientific) methodology

- Manage key academic partnership relations

- Drive a publication project: publish research results on high quality journals and/or top peer-reviewed conferences

- Present at international conferences

- Present (in representation of his/her team) the results to different audience in a simple and convincing manner

(e.g., colleagues, customers, conferences)

- Develop best practices for instrumentation and experimentation and communicate them

- Suggest alternatives / improvements / new techniques in processes, flows, operational models and plans

 

Master Data Science key topics (know how to ...):

- Master latest data science technologies

- Configuration, administration, tuning, and advanced utilization of state-of-the-art Big Data tools (e.g., Hadoop, Spark, etc.)

- Extract and clean data efficiently using appropriate methodologies

- Analyze data using advanced statistical and machine learning methods

- Master data visualization for effective result communication

- Analyze and interpret the results of product experiments and new observations

 

General performance indicators

- Demos (to customers, to internal stakeholders)

- Publications, conference presentations

- Patents

- New data sources explored

- Prototypes, Analysis, Consultancies delivered

- Internal client satisfaction and feedback

- Positive impact on business maintained

- Knowledge is shared among teams

- Best candidates hired to support the growth of the division

- The team is well recognized internally and externally as a reference of state-of-the-art application of Data Science for the travel industry.

- Individual objectives discussed and set

- Successfully delivered projects

- Appraisal interviews organized

- High commitment and enthusiasm maintained within the teams

- Activity reports provided on agreed schedule

- Performances monitored and plans adapted according to circumstances

- Risks managed and problems solved proactively

- Resistance to change actively anticipated and managed

 

Professional Skills (IT Skills)

Development Tools

  • Expert knowledge of an analysis tools such as R, Matlab, SAS, or specialized packages for general purposes languages
  • Competency covering general development tools

Programming Languages

  • Fluency with at least one language supported by Spark, such as Python or Scala
  • Competency covering general purpose programming languages (e.g, Java, python, C++)

Engineering

  • Competency including all methods and procedures used during the software development process

Professional Skills (Methods & Processes)

 

    • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
    • Expert knowledge of advanced statistical/ML methods: e.g., forecasts, multi-regression analysis, machine learning, clustering, pattern recognition, imputation, outlier detection, and others.
    • Expert knowledge of advanced Artificial Intelligence methods
    • Experience on Big Data, working with large data sets, experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Impala, etc.)
    • Familiarity with relational databases, SQL, NoSQL

 

Profil recherché :

 

Description société

Amadeus est le leader mondial des solutions de traitement des réservations pour l'industrie du voyage. Les prestataires de voyage (compagnies traditionnelles et à bas prix, hôteliers, croisiéristes, compagnies ferroviaires, de ferry, de location de voitures et tour-opérateurs) et agences de voyages (en ligne et hors ligne) bénéficient de notre puissance de traitement des transactions et de nos solutions technologiques.

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