Lead Data Scientist
Liverpool FC are looking for a full-time Lead Data Scientist based at our Melwood training ground in Liverpool. The successful applicant will create, implement and manage mathematical modelling research on tracking data, and develop products and visualisations for analysts, coaches and other key stakeholders. Tracking data contains valuable insights into the tactics, strengths, and weaknesses of teams and players, and will enable performance to be better analysed and forecast.
This position requires an experienced data scientist to develop models and tools for analysing and forecasting performance from the data.
- Project managing research programmes, from conceptualisation to delivery;
- Leading the development of mathematical and statistical models to make performance predictions and recommendations for analysts and coaches;
- Leading and managing the implementation of appropriate performance tools and models, including creating visualisations for communication purposes;
- Researching, identifying, reviewing and assisting in the implementation of new technologies aimed at improving the Club’s research programme;
- Delivering pre-match and post-match performance analysis, including player performance information and data management;
- Liaising with colleagues in relation to use, effectiveness and appropriateness of performance tools and models; and further development/review of such tools and models;
- The successful candidate will have an excellent academic record, holding a PhD and a first degree in mathematics or physics.
- They will have extensive experience in developing mathematical models, preferably Bayesian statistical models.
- Experience must also include developing predictive models using football tracking data, with a demonstrable record of high quality research in the field.
- A high degree of competency in numerical computing, with experience in Python, R and/or commercial numerical libraries is essential.
- The successful candidate also have excellent skills using data science tools such as MapReduce and Keras.
- Experience of working with Sportscode is an advantage.
- Excellent English language skills are necessary
- Candidates who are invited for interview will be asked to present examples of their tracking data analytics projects.
- This is a permanent role, working 35 hours per week.
- The salary for the position is likely to be in the range of £80,000 - £100,000 gross per annum, depending on experience, with eligibility for a discretionary bonus and Club pension scheme.
- The closing date for applications for this role is 4th October 2017.
The Club is committed to equality and diversity and apply this to our recruitment process. We are also committed to the safety and welfare of children, young people and vulnerable adults, including use of safer recruitment methods (inc. DBS clearance) relating to appointments working with vulnerable groups. The Club expects all staff to share our commitments.