Data Scientist – Plant Operations (80-100%)

Climeworks AG

Postuler
  • Date de publication :

    29 avril 2024
  • Taux d'activité :

    80 – 100%
  • Type de contrat :

    Durée indéterminée
  • Lieu de travail :

    Zürich

Data Scientist – Plant Operations (80-100%)

  • Your mission as a Data Scientist/Analyst, is to play a key role in supporting plant operations to harness the full potential of data-driven insights, understand data needs and provide actionable insights.
  • You use statistical analysis and ML techniques to extract valuable insights from plant data and drive data-driven decision-making.
  • You maintain and enhance automated reports and dashboards to monitor plant performance and communicate findings and insights effectively.
  • You work in cross-function teams including plant operators, engineers, researchers, and other data scientists to analyze and interpret plant data to support plant optimization initiatives and support daily plant operation.
  • You set up and maintain ETL processes on our data platform to ensure seamless data integration and accessibility across different systems and platforms.
  • You analyze and interpret plant data to identify opportunities and methods to improve plant performance and support daily plant operation.
  • You stay up-to-date with industry trends and emerging technologies in data analytics and data engineering to drive innovation and continuous improvement.
    • You hold a Bachelor’s or Master’s degree in Computer Science, Process-, Chemical-, Mechanical-Engineering, or related fields.
    • You have at least 5 years of work experience in a similar role with proven experience in large-scale plant operations or manufacturing environment.
    • Ideally you bring knowledge of plant operations processes and systems.
    • You have strong proficiency in data analysis using Python.
    • You bring experience with ML techniques, statistical analysis, and predictive modeling.
    • You feel confident in Data Engineering using SQL, Databricks. Azure is a strong plus.
    • You have proven track record of delivering actionable insights and driving process improvements through data-driven analysis.
    • You bring excellent problem-solving skills and the ability to tackle complex technical challenges in an interdisciplinary work environment.
    • You are highly self-motivated, proactive, precise, and thrive on hands-on tasks in a fast-paced environment.
    • You enjoy being a collaborative team player and are enthusiastic about contributing to a rapidly evolving environment.
    • You possess excellent communication skills to interact with technical and non-technical stakeholders.
    • You are fluent in English; German knowledge is a plus.


Your team: As a young, passionate, and highly motivated data team, we play a pivotal role in facilitating our business to scale up. We operate within a dynamic and thrilling environment, with numerous data-driven initiatives on the horizon. We look forward to meeting experienced and equally motivated individuals like yourself!

What we offer: A horizontal organization, a great team, an improvement-oriented approach, and a scale-up venture with an innovative technology. Sounds like you? We are looking forward to meeting you! Apply now by filling in the online application form and uploading your complete dossier to our careers portal: https://www.climeworks.com/careers.

At Climeworks, you are accepted for who you are. As part of our ongoing journey towards creating a diverse and inclusive environment we encourage everyone to apply! All qualified applicants are considered for positions, so bring along your knowledge, personal experiences, and fresh perspectives, and together we can solve one of humankind’s greatest challenges. We look forward to getting to know you!


Disclaimer: The percentage in the job title means that for this vacancy, you can decide if you want to be employed on a full-time or part-time basis, depending on what works best for your needs.

We do not accept candidates from agencies for our positions.


Postuler