Position as Data Scientist (m/f/d) – Pilot Project Predictive LCA Model
31.03.2025
as soon as possible
Full time
About us
The Center for the Transformation of Chemistry (CTC) aims to reimagine the chemical industry as sustainable and resilient. Divided into 5 interconnected thematic areas; Automation & Standardization, Data-driven Chemistry, Recycling, Renewable Feedstocks, and Societal-Environmental-Economic Metrics (SEEM); the CTC has identified strong pillars to guide its scientific efforts towards the transformation of chemistry.
The CTC Science Team is currently planning multiple pilot projects and looking for ambitious people taking the lead.
As a Data Scientist (m/f/d) – Pilot Project Predictive LCA Model, you will play a crucial role in advancing sustainability through the development of a predictive life cycle assessment (LCA) model by using machine learning techniques, including Multiple Regression and Artificial Neural Networks (ANN), you will design, develop, and implement a model that significantly enhances our understanding of environmental impacts for lignin-derived chemicals based on the molecular structure.
Your responsibilities will include benchmarking the developed predictive LCA model against existing ones to evaluate their accuracy in assessing the environmental impact of lignin-derived chemicals. By doing so, you will provide critical insights that drive our LCA processes forward, contributing to more sustainable chemical practices. Your expertise will be instrumental in ensuring that our models not only predict environmental impacts accurately but also support the broader goal of sustainability at CTC.
As part of CTC’s Science team, you’ll be located in Leuna in the greater Leipzig/Halle area.
Your tasks and qualifications
- Formulation and implementation of productive and scalable machine learning and deep learning solutions related to predictive Life Cycle Assessment.
- Analyze, interpret, and report complex LCA datasets from Ecoinvent in a clear and actionable format for Scientific coordinators and the Project Leader.
- Coordinate with data engineers to deploy code, have experience with CI/CD pipelines, and have experience with logging tools such as Prometheus Grafana and Docker containers for development.
- Ownership of ML models from conceptualization to production-level implementation.
- Collaborate with the Data team on Data standardization, wrangling, and processing
Your profile
- Successfully completed degree (at least a Master’s, ideally PhD) in Computer Science, Industrial Ecology Engineering, Data Science, Statistics, Computational Sciences, or related fields.
- Previous hands-on working experience (minimum 5 years) as a data scientist, AI developer, or similar role.
- Experience with NoSQL databases (e.g. PostgreSQL, MySQL).
- Previous experience in LCA modelling through commercial Software (e.g. SimaPro or Gabi), especially for the chemical industry.
- Strong experience in programming languages such as Python and VSCode.
- A hands-on expertise with version control systems (e.g. Git), ETL tools (e.g. Airflow, Nifi), and high-performance computing will be advantageous.
- Experience working with relational and non-relational databases and data streaming frameworks (Apache Kafka/Spark/SQL).
- Motivated by working in a self-organized and independent fashion within an international and interdisciplinary environment.
- Excellent communication, collaboration, and leadership skills to engage with internal and external stakeholders.
What we offer
- The opportunity to perform your research at what will be the largest research center for chemical research in Europe.
- Benefit from a large network: Meet and work with top experts from academia and industry.
- Competitive compensation according to TVöD-Bund up to E13 depending on the candidate’s qualifications.
- Partial compensation of Job Commute Ticket.
- Comprehensive social benefits, including 30 days of vacation per year, annual special payment, and additional pension scheme (VBL).
- Term-limited position until the 31st of December, 2025 allowing for fresh perspectives in terms of contract extension after 2025.