Data Scientist

Job Title: Data Scientist - Junior Level

Location: Herzogenaurach, Germany (80% Onsite, 20% Remote)

Duration: 12 months contract

Mandatory experience in Data Science along with Sports Analytics, Conventional Sports Science and Football data experience

Job Description

PROJECT DESCRIPTION

• Short description of the project: Within Football Innovation organisation is developing a testing framework that can be used to authentically test products. These tests aim to assess Football performance and athlete production interactions.
• The project has the has the purpose to establish an objective, valid and reliable testing methodology based on organisation innovation strategy and philosophy to support future product iterations.

SERVICE DESCRIPTION

The scope of services includes the following tasks, which are independently

performed by the contractor:

• Set-up of and collection of performance and physical/technical data from the external athletes (see below) with a number of different technologies these being VALD timing gates, Polar Heart Rate chest straps, Vmaxpro Velocity Sensor, A-Champs RoxPro Rebounder ,Playermaker IMU, Eurogoal 1500, Senaptec Sensory Station and Reflexion Edge.
• Creation of clear instructions in documented form (MS Office Excel, Word, PowerPoint) that will act as a guide on how to administer battery of tests based on the contractor’s expertise.

Independent organization and conduction of tests at Innovation Lab:

• This includes the conduction of onsite tests regarding the above-mentioned series of tests (testing battery) together with athletes (organisation externals, amateur and semi-professional Football players).
• Provision of professional consultancy towards athletes regarding the test performance to achieve measurable input out of tests.
• Analysis of data in programming tool (python, Matlab, Excel, internal Athlete Data Management tool). Analysis is based on the test results.
• Documentation and evaluation of tests results in Excel, PowerPoint.
• Onsite execution of tests is required due to the physical availability of specialized testing equipment at the facility.

Data management, data post processing and communication of findings

• Execution of post process collected data sets by uploading those data into owned servers
• Report generation to communicate individual, team and population specific outcomes of the collected data
• Preparation of share-outs (PowerPoint) on monthly basis or towards milestones to wider Athlete Performance Football team and project specific internal stakeholders to communicate conclusions, learnings and next steps