Job description
- Delivering Data Science projects with minimal support from senior team members providing decision recommendations that fulfil business requirements and enhance existing and new business processes
- Participating in the majority of the Data Science Project Lifecycle utilising an intermediate knowledge level of the Data Science Toolbox and a good understanding of the easyJet business
Line managing a few junior team members with support from senior team members
Specialist Track:
Starting to develop a sufficiently broad area of specialism (e.g. a Technical area such as Optimization, or a Business area such as Revenue Management), and become a valued and trusted expert within the Data Science team
Key responsibilities (please specify if the position is an individual one or part of a team):
Contribute to the majority of the Data Science Project Lifecycle from idea to live
> Compile, integrate, and analyse data from multiple sources to answer business questions
> Build, validate and manage intermediate prediction, simulation, optimization and reinforcement learning models and algorithms
> Analyse results and make recommendations to improve customer experience and business performance
> Work with senior team members to define and use the key performance indicators (KPIs) and diagnostics to measure performance against business goals
> Understand and monitor data quality to improve confidence in the data used for analysis
> Are familiar following Agile methodologies and the hypothesis-driven approach
> Contribute to hiring and building a great pool of Data Scientists for your team
Management Track:
o Define clear objectives for each individual you manage
o Ensure each individual you manage has a personal development plan and regularly proactively works on it
o Carry out people routines for direct reports
Specialist Track:
o Have started to develop a deep knowledge of a sufficiently broad area of specialism (e.g. a Technical area such as Optimisation, or a Business area such as Revenue Management), and to act as a valued and trusted expert within the Data Science team
o Coach and Mentor colleagues within the Data Science team to help them develop technical excellence
o Deliver some training sessions for the Data Science team in your specialist area.
Key Skills/Knowledge:
Have an intermediate knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies)
> Have an analytical thought process and ability to process complex information
> Have excellent written and verbal communication skills and clearly articulate your ideas
> Have great presentation skills and can present your ideas/ thoughts/plans with clarity and confidence
> Learn new areas/disciplines/ways-of-working quickly
> Understand key user personas, customers and stakeholders for your project and their pain points really well
> Demonstrate empathy and listening skills to understand the needs of your stakeholders and customers and strong persuasion skills to influence others
> Are a team player and work collaboratively with other members of the team
> Seek help and guidance when appropriate
> Are self-organised and can plan your work in line with the team plan and priorities
> Take an active part in the wider analytics community building and sharing knowledge with peers
> Encourage collaboration and communication between teams
> Keep up-to-date with data trends and developments, showing a strong interest and commitment to easyJet, your work and Data Science
> Have a good understanding of how the easyJet business works in general
> Have a sparse network of contacts covering most areas of the easyJet business
> Set up and configure Data Science technology environments
> Are familiar with using Big Data and Cloud environments and the common Data Science toolset