Job Title

Data Scientist

Location: London (with travel to Austria)

Position: Permanent

Salary: £ 30000.00 per annum

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Job Description

Title: Data Scientist
Industry: Sport
Location: UK (London with the potential to spend 3-4 months per year in Innsbruck, Austria).
Salary: £30,000 – £45,000 + benefits + 0.5/1.5% Equity in the company.
Contact: Richard.RJones@forsythbarnes.com
 
Brief Overview:
 
Forsyth Barnes are working with an exciting Tech Company. Inspired by Olympic Technology this company makes it accessible to all.
 
Your primary focus will be applying data analysis techniques, including raw sensor data signals, skiing routes, motion statistics, and more. Using this data you will help us build models from the ground up to generate a smarter, more personalised, and adaptive ski trainer. Your work will include data exploration and segmentation, statistical modelling and building models from the ground up including feature generation, model construction and optimisation. You will work directly with the CTO and CEO. 
 
 
Data Scientist – Responsibilities:
 
Analyse sensor data to identify and categorise the quality of skiing technique.
Analyse feedback/instruction given and reaction from user to quantify effectiveness of feedback.
Build models from the ground up, from data exploration through feature generation, to model construction and optimisation.
Discover new data-driven capabilities for product improvement and development.  
Apply machine learning and other relevant techniques to product development and improvement.

 
 
Data Scientist – Skills:
 
3+ years of hands-on experience with data 

 
Experience with some of the following: 
– Python – C++ – TensorFlow &#$2022; Understanding of ski technique or biomechanics &#$2022; Experience in implementing machine learning models/algorithms over data &#$2022; Experience with real time or continuously aggregating data and data streams
 
 
If you're interested, please apply by below or get in touch on Richard.RJones@forsythbarnes.com / 0203 857 9200  for an informal conversation.  
 

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