(Senior) Data Scientist (d/f/m)

DX IT Germany, Düsseldorf, North Rhine Westphalia Full Time Regular
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(Senior) Data Scientist (d/f/m) Apply for this role
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<span>What you´ll do

  • Solve complex business problems with data, use data scientific tools to find solutions for challenges in the realm of both big and small data and take pride in delivering insight and value from data to the organization
  • Be part of a team of data scientists embedded in our Data Science Center of Excellence and advance the team with your expertise and extend and deepen your knowledge by strong collaboration within the team and within cross-functional teams 
  • Work in close collaboration with our Data Science Engineering team using agile methods to deliver high quality data products at a fast pace
  • Actively participate in cross-functional project teams in the execution of our data & analytics strategy and be passionate about exploring emerging technologies and leveraging their full potential
  • Establish yourself as a Data Science ambassador across business units and functions - Our passion is to create high impact and value through data & analytics

What makes you a good fit

  • Master’s degree in a quantitative field (e.g., physics, mathematics, bioinformatics, (computer) science, computational finance); PhD is a plus
  • Minimum 2 years of relevant experience in a data science or advanced analytics environment in industry; experience in the chemical and consumer goods industry is a plus
  • Strong technical background with excellent coding skills in scripting languages (e.g., Python, R), experience with data processing frameworks (e.g., SQL, Spark), cloud infrastructure (e.g., Azure tool stack), and the use of collaboration technologies (e.g., version control, Scrum/Kanban boards, MLOps)
  • Extensive experience in data preparation, modeling, analysis, and visualization, with expert-level hands-on knowledge in at least one data science area such as time-series analysis, supervised/unsupervised machine learning, deep learning, statistical modeling, or optimization
  • Strong business acumen and ability to closely collaborate with non-technical teams, with the capacity to understand business needs and translate them into actionable data science tasks combined with excellent skills in communicating results through data storytelling and visualization to a non-technical audience
  • Fluency in English required; German language skills are a plus

Some perks of joining Henkel

  • Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
  • Diverse national and international growth opportunities
  • Globally wellbeing standards with health and preventive care programs
  • Gender-neutral parental leave for a minimum of 8 weeks
  • Employee Share Plan with voluntary investment and Henkel matching shares
  • Company Pension Plan 100% financed by Henkel
  • MEGA Preventive Health Insurance
  • CareFlex Supplementary Care Insurance
  • Mobility offer: My Henkel Bike and Jobticket

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, generations and disabilities. If there are any specific accommodations or adjustments you require for the interview process or your on-site appointment, please inform us, and we'll do our best to accommodate your requests.

JOB ID: 25078816

Job Locations: Germany, North Rhine Westphalia, Düsseldorf

Contact information for application-related questions: Recruitment-Germany@henkel.com

Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted.

Application Deadline: As long as the vacancy is listed on our Career Site, we are happy to receive your application

Job-Center: If you have an application already, you can create or log in to your account here to check the status of your application. In case of new account creation, please use your email address that you applied with.

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How is work at Henkel

About Henkel

Building on a strong legacy of almost 150 years, we are leading the way to reimagine and improve life every day. Today and for generations to come. Through our innovative and sustainable brands and technologies, across our teams around the world.
Henkel holds leading positions in both industrial and consumer businesses: Our portfolio includes well-known hair care products, laundry detergents, fabric softeners as well as adhesives, sealants, and functional coatings.

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FAQ

Yes – simply fill out your profile in our online application system. Once your online profile is complete, you can apply for multiple positions.

Yes, please. As Henkel is an international company you will be working with colleagues from all over the world and English is our official company language. Generally, the ‘rule’ is: please write the application in the same language as the job ad.

Each position that we have open with Henkel is unique, and finding the right candidate is important for both the hired candidate as well as for Henkel. We want to make sure that both the candidate and the company are a good fit for each other. We will provide feedback to the candidates throughout the entire process.

Yes, in fact it is an expectation within Henkel that our talent is flexible and mobile. This helps to support the company on a broad, global level.
Our “Triple Two” philosophy promotes this expectation, by allowing you to work in at least two different roles, in two different business areas and two different countries. The reason behind this philosophy is that we believe working in different roles, business units and functions is good for your personal development and improves your understanding of Henkel as a global company.
Here you will get further information on our training programs.

Our recruiting team will help you with all requests regarding your application. Contact the team here.