ServiceNow

Job description

Role:
As part of the EWF Data Science team, you will contribute to features and products by improving the quality of our algorithms and data processes. You will be collaborating with other teams of engineers, product teams, and business stakeholders. The ideal candidate will have a desire to learn with a collaborative mindset. In addition to supporting the expansion of our intelligence solutions, this role will support specific projects related to NLP and Generative AI, and reports to the Sr. Manager, Data Science, Employee Workflows.

What you get to do in this role:

• Exploring data and providing reports, metrics, and summaries for projects and teammates.
• Developing new algorithms (and working on existing algorithms) for product and feature needs.
• Building tools and documentation for ETL, with a preference for automation.
• Creating models for NLP algorithms such as named entity extraction, classification, segmentation, and parsing.
• Searching and processing large datasets for actionable and usable information.
• Create and maintain data structures to facilitate ease of use and accessibility.
• Provide guidance and mentoring for more junior data scientists on the team.
• Develop data engineering components to enhance product features and data pipelines.
• Support and advise product teams on best practices regarding LLM usage and GenAI technologies. Specifically geared towards NLP use cases.
• Develop ML models for prediction and/or classification using available data.
• Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage.
• Develop intelligent processing pipelines to help with alerting/anomaly detection.
• Lead complex and technically challenging projects from concept to completion, including specific projects to advance the Employee Workflows product roadmap.
• Take initiative to identify project stakeholders, reach out for requirement clarifications, and communicate changes/objectives/results across teams in a comprehensible way.
• Remotely collaborate with a geographically distributed team and be willing to pitch in to perform other tasks when you see such opportunities.