Senior Data Scientist (m/f/x)

Who You’ll Work For:

Makersite is an award-winning data software company that empowers teams to manage product sustainability, cost, and compliance; simultaneously, from a web browser. Our mission is to help manufacturing companies make better decisions and create safer, more sustainable products through data-driven analysis. We believe that technology can help corporations to have a more positive impact on their environment. That is why we developed a platform that uses cutting edge technology, big data, and breakthrough algorithms to deliver product intelligence unlike anything on the market.

For manufacturing companies with complex supply chains that want to accelerate product development, build resilience or reduce costs, Makersite is a disruptive digital twin platform that uses AI to connect and enrich cross-departmental data into live models for analysis, collaboration and decision support. Digital twins can be used to understand how externalities like regulations, supply shortages etc. affect a business and help teams evaluate scenarios taking into account multiple criteria like costs, environment, compliance etc. at the same time.

Who We’re Looking For:

We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. The
ideal candidate will have extensive experience in optimizing pipelines for training and delivering
customer-specific AI models, extracting data for training models, and utilizing extracted data for
large language models (LLMs). You will play a key role in accelerating our AI strategy, contextualizing
customer information from ERP and PLM systems, and leveraging third-party/external databases to
generate supply chain models.

What You’ll Do:

• Pipeline Optimization: Develop and optimize data pipelines for training and delivering
  customer-specific AI models, ensuring efficiency and scalability.
• Data Extraction: Extract and prepare data for training models, with a focus on quality and
  relevance for LLMs and other AI applications.
• AI Strategy: Contribute to and accelerate Makersite’s AI strategy by integrating advanced AI
  techniques and models.
• Contextualization: Contextualize and interpret customer information from ERP and PLM
  systems to enhance data-driven insights.
• Third-Party Data Utilization: Leverage external databases, including sector-specific
  databases, to enrich supply chain models and enhance data accuracy.
• Team Leadership: Provide leadership and mentorship to the data science team, fostering a
  collaborative and innovative work environment.
• Customer-Specific AI: Develop standardized vanilla AI models as well as tailor customer-specific
  AI solutions, addressing data quality and gaps.