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    <job>
      <externalid>92fce934-b53</externalid>
      <Title>Data Scientist</Title>
      <Description><![CDATA[<p><strong>Apply now!  First name\<em>  Last name\</em>  Email address\<em>  Which career you want to apply to?\</em>  Message\<em>  + FP  Read more  ## Job Description  We are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for analysing large datasets to gain insights and inform our racing strategy.  ### Responsibilities  </em> Develop and implement data analysis and machine learning models to improve our racing performance <em> Work closely with our engineering and racing teams to understand their needs and develop solutions </em> Collaborate with our data engineers to design and implement data pipelines and architectures <em> Develop and maintain data visualisation tools to communicate insights to our teams </em> Stay up-to-date with the latest developments in data science and machine learning <em> Work with our data engineers to ensure data quality and integrity </em> Develop and maintain data documentation and standards <em> Collaborate with our racing teams to develop and implement data-driven strategies </em> Work with our data engineers to develop and implement data-driven decision-making tools <em> Develop and maintain data visualisation tools to communicate insights to our teams </em> Stay up-to-date with the latest developments in data science and machine learning <em> Work with our data engineers to ensure data quality and integrity </em> Develop and maintain data documentation and standards  ### Requirements  <em> Bachelor&#39;s degree in Computer Science, Mathematics, Statistics, or a related field </em> 2+ years of experience in data science or a related field <em> Strong programming skills in Python, R, or SQL </em> Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch <em> Experience with data visualisation tools such as Matplotlib, Seaborn, or Plotly </em> Strong understanding of statistical concepts and techniques <em> Experience with data engineering and data architecture </em> Strong communication and collaboration skills <em> Ability to work in a fast-paced environment  ### Benefits  </em> Competitive salary and benefits package <em> Opportunity to work with a professional motorsport organisation </em> Collaborative and dynamic work environment <em> Opportunities for professional growth and development </em> Access to cutting-edge technology and tools * Flexible working hours and remote work options  ## How to Apply  If you are a motivated and talented Data Scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!</strong></p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>Competitive salary and benefits package</Salaryrange>
      <Skills>Python, R, SQL, Machine learning, Data visualisation, Statistical concepts, Data engineering, Data architecture, TensorFlow, PyTorch, Matplotlib, Seaborn, Plotly</Skills>
      <Category>Engineering</Category>
      <Industry>Motorsport</Industry>
      <Employername>W Racing Team</Employername>
      <Employerlogo>https://logos.yubhub.co/w-racingteam.com.png</Employerlogo>
      <Employerdescription>W Racing Team is a professional motorsport organisation that competes in various international racing series. The team has a strong presence in the FIA World Endurance Championship and the IMSA WeatherTech SportsCar Championship.</Employerdescription>
      <Employerwebsite>https://www.w-racingteam.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://www.w-racingteam.com/manufacturing/careers/mécano</Applyto>
      <Location>Monza</Location>
      <Country></Country>
      <Postedate>2026-03-06</Postedate>
    </job>
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