The name stands for competence, fairness, and integrity.

For nearly 30 years, we have been successfully operating in the field of personnel services. The satisfaction of our clients and our more than 2,000 employees is our top priority. Thanks to our extensive network of locations in all major economic regions of Germany, we are always close to you and easy to reach. We believe in the uniqueness of every individual and focus on long-term partnerships based on trust, respect, and mutual benefit.

Join Team Aktiv and find your path with us:

Aktiv Personal Service – We get your career moving! #TeamAktiv

• No costs for you – the client company pays the fee.
• Discreet & confidential – even if you're currently employed.

And if this position isn't the right fit: Contact us – we can support you further:

• Access to other vacancies – including "hidden" positions that aren't publicly advertised.
• Full control – your documents will only be shared with your explicit consent.
• Less application effort – structured process, quick feedback.
• Advanced consulting – support for your next career steps and professional development.

Here's what happens next when you contact us:

• We will review your documents promptly – no long waiting times.
• We will contact you for a short phone or video call to clarify the most important details and answer your questions.
• We will present you transparently to the client company – only after your approval – and provide you with timely feedback on the next steps.
• We do not ghost – you will receive a binding response from us.

As a Senior Data Scientist (m/f/d) , you will play a key role in developing and implementing innovative, data-driven solutions. Your main responsibilities include:

• Leading the delivery of successful, business- and customer-focused data analytics solutions.
• Applying high-quality and cutting-edge analytical approaches to solve complex problems and drive smart decision-making processes. You will leverage your strong expertise in data science to continuously optimize the data analytics framework.
• Managing and overseeing data science activities within data management operations, including monitoring data science models in production and conducting continuous data reviews.

For initial contact, a brief profile including your educational qualifications, your last 2-3 positions/project focus, certificates, desired start date, and phone number is sufficient.

For further questions, please contact us at +49 6131 276 44 60 (or +49 160 92940996 via WhatsApp only) or mainz@aktivpersonalservice.de