Senior Data Scientist-AI Innovator

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

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. 

We’re shaping the future of work by leveraging cutting-edge AI and Generative AI technologies. Our team is dedicated to transforming how work gets done by applying new techniques, tools, and data to solve problems that haven’t even been recognized yet.  We rapidly prototype AI-driven solutions, sharing use cases across the company to demonstrate their potential value. As a Data Scientist specializing in Transformational AI, you’ll help bring these prototypes to life through data preparation, coding, and integrations before handing them off to our implementation team.

1. AI Tools Evaluation: Continuously research, evaluate, and experiment with the latest AI, AutoML, automated feature engineering, and generative AI tools and methods. Assess their applicability to solve business problems and deliver value.
2. Adaptation to Novel Use Cases: Adapt new AI technologies and processes to develop tailored solutions that address unique and complex business challenges. Design data science experiments to validate the applicability of these technologies.
3. Prototype Development: Rapidly develop and deploy prototypes that showcase the capabilities of novel AI tools, processes and use cases. Use tools like Gradio and Streamlit to create interactive demos that clearly communicate potential business impacts to stakeholders. Guide the development of AI/GenAI simulators that help explain model input, output, and results.
4. Data Set Creation & Preparation: Collaborate with data engineers to identify, design, gather, and prepare MVP datasets that facilitate AI experimentation and MVP model construction.
5. Automated Feature Engineering: Explore and implement automated feature engineering techniques to accelerate feature extraction and transformation for machine learning models. Leverage generative AI for feature ideation and hypothesis testing.
6. Cross-Functional Communication: Present your findings and prototypes to stakeholders, providing clear, actionable insights that demonstrate the value and potential of novel AI technologies. Foster collaboration between product managers, engineers, and other data scientists to integrate AI innovations into core business processes, driving continuous innovation and learning.
7. Expand AI Expertise: Maintain deep knowledge of in evolving AI technologies, tools, and methods, ensuring that the company is aware of the changing landscape. Conduct seminars to explain the new art-of-the-possible.

Qualifications

To be successful in this role you have:

Education: Master’s degree in Data Science, Computer Science, Machine Learning, or related field. PhD is a plus.

Experience with AI Tools & Methods: 3+ years of experience working on data science projects, with a focus on evaluating and adapting novel AI tools and methods.

Proficiency in Coding: Strong experience with R and/or Python programming for AI/GenAI, and an understanding of SQL for data manipulation. Experience with Snowflake is preferred. Success in using GenAI for coding/scripting is highly preferred.

Data Science Expertise: Proven experience in building and evaluating machine learning models. Preference for experience with automating feature engineering and rapidly building MVP models.

Rapid Prototyping Skills: Experience in rapidly developing AI prototypes, including interactive demos or model simulators, using tools like Gradio, Streamlit, or similar tools.

Communication Skills: A passion for sharing AI concepts, tools, advances, etc. The ability to persuade stakeholders, end users, and any interested party how AI can provide business value. Very strong presentation and demo skills.

Extra Consideration For:

AutoML: Familiarity with AutoML processes/tools and their application to rapid model development.

Generative AI: Experience with generative AI models (e.g., GPT, transformers) for data augmentation, feature engineering, or solving real-world business problems.

AI in Snowflake: Experience using AI tools within Snowflake, such as Cortex, for transforming data or feature engineering.

Interactive Demos: Experience in creating interactive demos that showcase AI models, their input/output, and potential user experiences.

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For positions in the Bay Area, we offer a base pay of $151,900 - $258,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

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 talent.acquisition@servicenow.com 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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