Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Data Scientist designing and deploying AI and ML solutions impacting business processes at RHI Magnesita. Collaborating with cross-functional teams to ensure data quality and governance.
Responsibilities
- Design, development and maintenance of end-to-end ML pipelines for training, evaluation, and deployment across batch and real-time applications
- Production deployment of ML models via APIs or batch inference, including telemetry, A/B testing, drift detection, and automated monitoring
- Building reliable data preparation and feature engineering components
- Optimizing model training and inference performance and cost, including hardware selection, caching, vectorization, quantization, and scalable endpoints
- Establishing and maintaining CI/CD workflows for ML systems, contributing to platform standards, documentation, and runbooks
Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
- Several years of experience building production-ready ML systems, with Python and ML frameworks (pandas, numpy, scikit-learn, PyTorch, TensorFlow), and with containerization and CI/CD (Git, Docker, orchestration/workflows)
- Strong SQL and data modeling skills with experience in exploratory data analysis (EDA) to identify patterns and dependencies
- Experience with vector indexes, embedding models, LLM agent patterns, ingestion pipelines, and model management frameworks (e.g., MLflow, Databricks)
- Experience with unified data/AI platforms such as Databricks, including Unity Catalog, governance concepts, A/B testing, causal inference, and experimentation platforms
- Languages: English – fluent
- Nice to have: Relevant cloud or data/AI certifications. Familiarity with writing and debugging LLM tools in OOP-style Python, with a focus on Generative AI (prompting, RAG, vector search) and MLOps
Benefits
- Option for up to 50% remote work and flexible, trust-based working hours
- Annual public transport pass (Wiener Linien)
- Sponsorship of sporting events, platform for mental and physical health (Mavie)
- On-site café and daily meal allowance for numerous restaurants (Europlaza)
- Global benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.
Data and Analytics Manager defining strategies for a digital transportation company connecting freight and truckers in Brazil. Leading initiatives to maximize data value and promote a culture of data - driven decision - making.
Mid - Level Data Scientist leveraging data science techniques for USAA's financial security solutions. Collaborating with various teams to develop advanced analytics and model deployment practices.