AI-Powered Data Specialist

We are seeking a Data Driven Professional to join our team.

This role will involve collaborating across various teams, supporting data science and engineering, and liaising with architecture and product management to help shape the Impact AI roadmap and accelerate ServiceNow's value to our customers.

• Data Extraction and Pre-processing: Normalizing and pre-processing data, creating datasets, organizing outcomes, documenting data-quality checks.
• Model Evaluation, Implementation & Maintenance: Evaluating, selecting, and implementing models locally, setting up automated drift / performance monitoring in production.
• Solution Design: Contributing to solution diagrams.
• Educating engineers on data and model management best practices through individual and team sessions.
• Preparing and presenting explanatory documents and presentations to PMs and relevant internal customers.
• Bringing Python models to production, paying attention to non-functional requirements such as predictive accuracy, robustness, security, performance, and storage.

To be successful in this role you should have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• 3-5 years experience in industry, working in a data related role where more than 50% of time spent actively working in data.
• Strong Data Literacy: Deep understanding of data, including data extraction, normalization, preprocessing, and evaluation as well as event streaming and data pipelines.
• Technical Proficiency: Proficiency in Python, SQL, and JavaScript is essential.
• A BSc or BEng in Computer Science or Software Engineering and a Masters in AI or Data related, or an AI major in their Bachelors degree and additional learning in Data or AI.

The role requires being in the office a minimum of two days per week and working with teams across different regions.

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to employees depending on the nature of their work and their assigned work location.