ISPV, Inc.

Data Scientist - Engineer

• Proficiency in Python and SQL for data manipulation, statistical analysis, and automation.

• Experience working with Apache Spark and Databricks workspaces for advanced analytics.

• Familiarity with data visualization tools such as Tableau, Spotfire, or Power BI, with an understanding of UX design principles for effective data storytelling.

• Understanding of Machine Learning algorithms, model development, and evaluation techniques.

• Experience with multivariate statistical analysis and tools such as SIMCA for data exploration and predictive modeling.

• Demonstrated ability to translate complex analytical findings into actionable business insights.

• Excellent communication and collaboration skills to work cross-functionally with business, engineering, and product teams.

• Ability to integrate diverse data sources (e.g., PAT, LIMS, MES, OSIsoft PI) for end-to-end process analytics and digital transformation initiatives.

Industrial Automation - Technical education

The contractor will support manufacturing operations by troubleshooting, repairing, and maintaining automated equipment, as well as ensuring validated states are preserved through application backup and restore.

Key Responsibilities

• Troubleshoot, repair, and maintaining automated equipment (PLCs, motion control, HMIs, RFIDs, robots, and vision systems).

• Perform repair and replacement of computers connected to manufacturing equipment.

• Execute application backup/restore to maintain validated system state.

• Support integration and configuration of automation technologies.

• Document activities per quality and regulatory standards.

• Provide flexibility to support business demands (overtime, holidays, weekends, or night shifts when required).

Work Location: In person