Staff Data Scientist
EventbriteFull Time
Expert & Leadership (9+ years)
The ideal candidate will have 6-10 years of experience with Python (Pandas, scikit-learn, PySpark) and SQL. Proven expertise in supervised and unsupervised ML techniques, advanced statistics, and hands-on experience with computer vision and generative AI projects are required. Familiarity with Docker, Kubernetes, cloud ML platforms (Azure/AWS), and customer communication is also necessary. Preferred qualifications include experience with BI tools (Tableau, Looker, Power BI), MLOps frameworks (MLflow, Kubeflow), FastAPI, and Linux environments.
This role involves leading end-to-end data science projects, from hypothesis definition to model deployment, and partnering with engineering to integrate ML services. Responsibilities include building scalable ETL pipelines, designing data schemas, developing monitoring dashboards, and creating automated retraining workflows. The position also requires translating data insights into business recommendations and mentoring junior analysts.
Industrial automation and information technology solutions
Rockwell Automation provides hardware, software, and services aimed at improving operational efficiency and sustainability in various industries, including manufacturing and food and beverage. Their products work by integrating advanced technology to streamline processes, enhance reliability, and reduce operational costs. This includes alarm notification software, cybersecurity solutions, and computerized maintenance management systems. What sets Rockwell Automation apart from competitors is their strong emphasis on sustainability and tailored solutions for specific industry needs, helping clients meet environmental standards and improve productivity. The company's goal is to drive better outcomes for clients through technological innovation and comprehensive support.