Data Scientist for AI Solutions
hace 1 día
BASF Digital Hub Madrid is a hub for innovation and digital transformation. We develop cutting-edge digital solutions for BASF, creating new customer experiences and driving business growth. Our team is passionate about creativity, experimentation, and collaboration. We believe in the power of diversity and equal opportunities.
Our TeamThe Artificial Intelligence (AI) Solutions for Sales & Marketing team develops innovative solutions to derive insights from data, supporting better and faster business decisions. We implement data-driven solutions in their complete lifecycle for users in sales & marketing worldwide.
Job DescriptionWe are seeking a talented Data Scientist to build Data Science & Gen AI applications for Sales & Marketing. As a Data Scientist, you will be responsible for implementing AI solutions based on machine learning (ML) and data science for decision support along marketing & sales using leading AI technology. You will focus on data engineering and converting system data (e.g. Salesforce, SAP data) and data from external data sources into data pipelines for machine learning and simulation.
Responsibilities- Implement AI solutions based on machine learning (ML) and data science for decision support along marketing & sales.
- Focus on data engineering and converting system data (e.g. Salesforce, SAP data) and data from external data sources into data pipelines for machine learning and simulation.
- Support and improve ML Ops on AI Solutions with focus on predictions, forecasting, alerting and simulations.
- Translate requirements of supply chain teams into AI solutions.
- Support decisions on solution architecture and selecting the relevant tech stack based on user requirements.
- Drive the sustainable implementation of AI-based supply chain solutions, including data integration for various AI Solutions, utilizing enterprise data lake concepts, and integrating external data into MLOps frameworks.
We are looking for a background in information technology, computational sciences, engineering, or other data-centric disciplines (B.Sc. or M.Sc.). More than 3 years of professional experience as a Computer Science, Engineering, Artificial Intelligence Architecture, Data and Machine Learning Engineering or equivalent, working in an agile environment. Hands-on experience working with large data sets, relational databases, establishing database connectivity, data integration and related technologies (SQL, Databricks, Kafka, etc.). Expert knowledge of Python with focus on machine learning and data science related libraries (e.g., Pandas, scikit-learn, TensorFlow, PyTorch etc.).
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