Senior AI Data Scientist at Qualifyze GmbH
6FAM, , Germany -
Full Time


Start Date

Immediate

Expiry Date

15 Sep, 25

Salary

0.0

Posted On

15 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Reinforcement Learning, Statistics, Agile Methodologies, Business Applications, It, Regulations, Machine Learning

Industry

Information Technology/IT

Description

ABOUT QUALIFYZE,

Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,200 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts.
With a track record of over 3,000 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector.
After securing a series-B funding in September 2024, Qualifyze is now focused on expanding to the US market.
We are looking for an AI Data Scientist to join our Engineering team! As a Senior AI Data Scientist, you will be at the forefront of developing and implementing advanced artificial intelligence solutions. Your role will involve harnessing machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business value.
You will work collaboratively with cross-functional teams to translate business requirements into AI-driven applications and insights.

Responsibilities
  • Design, develop, and deploy AI models and algorithms to address specific business challenges.
  • Conduct research and experimentation to advance the state-of-the-art in AI and machine learning.
  • Collaborate with product managers, engineers, and domain experts to identify opportunities for AI integration.
  • Perform data preprocessing, feature engineering, and model selection for optimal performance.
  • Evaluate and optimize AI models using performance metrics and model validation techniques.
  • Communicate findings and insights effectively to stakeholders through data storytelling and visualization.
  • Mentor and guide junior team members in AI concepts, tools, and best practices.
  • Stay current with advancements in AI technologies and methodologies.
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