Business Intelligence – Data scientist

Job description

Job Description :

Business Intelligence – Data scientist (m/f)

To support our European Operational Marketing organization within the Advanced Materials division, we are looking for a seasoned Data scientist , based in our Advanced Materials Regional Headquarter in Basel (Switzerland) .

As a Data scientist , you will join an international team of talented experts in need of a new data talent and work in a dynamic environment. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Your main accountabilities will be:

  • Provide market and price analysis to trigger optimization and improvement of business through advanced data skills
  • Employ advanced analytical methods, platforms and statistical methods to prepare data for use in predictive and prescriptive modeling
  • Correlate similar data to find actionable results, develop decision-making models to inform specific actions
  • Build dashboards and impactful reporting tools using Power BI and/or IBM suites to help in decision making
  • Leverage Business Intelligence solutions to minimize the time spent with report generation and maximize the time for analysis, insights sharing and action driving

BI projects area:

  • Engage with stakeholders and domain experts to identify opportunities for leveraging company data to drive business solutions
  • Convert business requirements into technical/data specifications and decide the timeline to deliver the dashboard projects
  • Data Science and BI use case animation:
    • Organize brainstorming sessions to identify high potential initiatives across the relevant stakeholders/functions
    • Share best practices/User cases and promote clear Data Science methodologies, tools and platforms
  • Ensure that all their activities are in line with Environment, Health and Safety principles, Ethics & Compliance and International Trade Compliance guidelines


  • Master's Degree in Data Science, Engineering, Statistics, Finance or related field
  • Demonstrable experience in a business intelligence/data scientist role with excellent data mining, modelling and visualization skills
  • Familiarity with programming for data analysis: Python, SQL, Scala, Java, R, MATLAB
  • Understanding of machine learning algorithms and statistical modelling
  • Experience in Power BI and building interactive dashboards
  • Experience of AGILE way of working and an understanding of how to manage requirements to prioritize business value
  • Good understanding of database design, experience working with and creating data architectures
  • Experience in developing decision-making models to inform specific actions
  • Exceptional attention to detail within the data and all areas of your work

Soft skills:

  • Strong business aptitude, ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts
  • Creative and proactive attitude to address technical challenges
  • Proven ability to communicate complex problems in clear, precise and actionable manner
  • Good adaptability skills and continuous improvement mindset
  • A drive to learn and master new technologies and techniques
  • Customer/User experience-oriented approach
  • Excellent oral and written English is required, any European languages is a plus

If you are interested in this position and would like to shape our and your future, we are looking forward to receiving your application.

Please submit your resume to Huntsman Advanced Materials (Switzerland) GmbH, via our Huntsman Career webpage.

Any personal data that you provide to Huntsman International LLC, its subsidiaries or its affiliates (together, Huntsman) as part of the online recruitment process and/or otherwise for potential employment (including any sensitive personal data) will be handled according to Huntsman's Notice about the Processing of Personal Data of Applicants, which is located on the Company's privacy page at

  • LI-DF1

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