Senior Data Scientist (m/w/d)

About the Company

Our client is a leading, internationally active partner for digitalization with extensive experience. With around 9,000 employees at over 70 locations worldwide, they are characterized by reliability, integrity, and tailor-made solutions. Particularly impressive are the short decision-making paths within the company and open communication at eye level. Our client acts flexibly, agilely, and places great value on innovation and the use of future-oriented strategies -- always with the human at the center.

Your Role

Senior Data Scientist (w/m/d)

• Full-time position
• Permanent contract
• Salary: Based on professional experience
• Locations: Aachen, Cologne, Düsseldorf, Essen, Stuttgart, Hamburg, Bonn, Hanover
• Ref. 26451

As an experienced professional in machine learning, you are in the right place with our team! Within interdisciplinary teams, you will be responsible for developing and implementing data science use cases.

Your Responsibilities:

• Content development and implementation of data science use cases.
• Analyze customer data to identify trends and structures for increasing operational efficiency.
• Apply state-of-the-art machine learning and deep learning methods to analyze various questions from the customer's specific business areas and derive concrete recommendations for action.
• Join the team and contribute your expertise to offer customers individual strategies to improve their operational processes.

What We Expect From You:

• Completed degree or PhD in Computer Science, Business Informatics, Statistics, Mathematics, or a comparable qualification.
• At least five years of professional experience in artificial intelligence and machine learning.
• Profound knowledge and experience in the application of Python, R, SAS, Scala, or Java.
• Solid knowledge and practical experience with machine learning methods such as Support Vector Machines, neural networks, cluster analysis, decision trees, Random Forest, or decision trees.
• As an experienced consultant, you have practical experience with the implementation of deep learning techniques and possess extensive knowledge of using SQL.
• Strong focus on results and customer satisfaction, and willingness to travel nationwide for projects.
• Very good German (min. C1) and good English skills, both written and spoken.

What We Offer:

• Attractive collective remuneration with annual bonus, capital-forming benefits, employee discount program, social benefits, 30 vacation days, and time off on Christmas and New Year's Eve.
• Secure job with flexible working hours.
• Personalized individual development and support with our own academy, mentoring, management development, and a very broad range of further training opportunities within our own corporate university, as well as desired career opportunities with skill enhancement.
• Flat hierarchies, flexible working hours to balance private and professional life, and home office options.
• Individual opportunities to take on technical responsibility in the IT environment, a desire to shape new topics in an economically secure environment, outstanding career prospects with the further training program.
• Good transport links and conveniently located offices & free employee parking, near S-Bahn station and bus stop, discount programs, health management and company sports, as well as childcare.

If you are interested, don't hesitate any longer and apply with your complete CV, stating your salary expectations and notice period, directly to me, if you feel up to these tasks at this company and want to develop and contribute your strengths meaningfully. We are happy to discuss the details by phone.

Does this job offer sound interesting, but doesn't quite meet your expectations? Get in touch with us: We constantly have various vacancies to offer. We work very closely with various companies in the industry and maintain close contact with decision-makers at our clients. Surely there is something for you too!

Your contact person: Selma Wittmann s.wittmann@karesources.com 0049 22828659415

KA Resources Benefits: Attractive collective remuneration with annual bonus, capital-forming benefits, employee discount program, social benefits, 30 vacation days, and time off on Christmas and New Year's Eve, secure job with flexible working hours, personalized individual development and support with our own academy, mentoring, management development, and a very broad range of further training opportunities within our own corporate university, as well as desired career opportunities with skill enhancement, flat hierarchies, flexible working hours to balance private and professional life, and home office options, individual opportunities to take on technical responsibility in the IT environment, a desire to shape new topics in an economically secure environment, outstanding career prospects with the further training program, good transport links and conveniently located offices & free employee parking, near S-Bahn station and bus stop, discount programs, health management and company sports, as well as childcare. MinSalary: MaxSalary: SalaryCurrency: EUR Remote Model: Hybrid Country Code: de