Senior AI/ML Data Scientist

Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
About Digital Technology & The SSO
We're not yesterday's IT department, we're Digital Technology. The world around us keeps changing and so do we. We're redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth.
We're all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow's journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.
Ultimately, we strive to make the world work better for our employees and customers when you work in ServiceNow Digital Technology, you work for them.
The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact
What you get to do in this role:

• Understand the Security data landscape and work with stakeholders to identify key use-cases for AI.

• Research, design, and apply advanced ML algorithms in Snowflake using large-scale datasets, including techniques such as reinforcement learning, deep learning, tree-based methods, gradient boosting, and generative AI models.

• Own ML Ops and deploy machine learning models into production systems, ensuring scalability and seamless integration.

• Learn and discover key opportunities for AI use of the ServiceNow platform for our security organization.

• Collaborate with cross-functional teams to expand our AI usage on the ServiceNow platform.

Qualifications
To be successful in this role you have:

• Strong understanding working with and understanding of the ML/AI tools.
• High levels of curiosity and eager enthusiasm for open-ended problems.
• Experience and interest in problem formulation based on relatively abstract information.

• 3-5 years of experience applying machine learning on large-scale datasets and in pre-processing and analyses of data.

• 1-2 years of experience working with LLMs on real-world use cases, including exposure to developer tools like Streamlit

• A firm understanding of the basic classes of ML algorithms and their underlying assumptions, including statistics and linear algebra.

• Familiarity with XG Boost, NLP, RAG Model

• The ability to break complex problems down into sizable pieces and work towards them.

• Technical expertise in one or more of the following topics: Anomaly Detection, Clustering, Time-Series Analysis & Forecasting, Natural Language Processing, Uncertainty Quantification.

• Domain knowledge and experience in the application of ML to one of the following areas: Security, Sales, Product

• Expert-level knowledge working with libraries such as scikit-learn, pandas, SQL, etc.

• Demonstrate keen senses of ownership, collaboration, and mentorship.

• Outstanding presentation skills to articulate results and complex concepts to all audiences and collaborate and influence leadership.

• Demonstrate leadership, with the ability to inspire the team and lead a project to completion.

Nice to Have

• Experience developing on or using the ServiceNow platform especially it's AI use-cases

• Experience building a chatbot from data from documents particularly with RAG

• Professional experience developing and building dashboards on Power BI

• Experience working with SnowFlake

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Additional Information
Work Personas
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 ServiceNow employees depending on the nature of their work. Learn more here .
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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