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

You will manage a team of 4-6 Data Scientists as they create Machine Learning models that drive our growth across all products. You will interact with stakeholders in departments across the company and identify opportunities for Data Science to enhance our business, match the optimal machine learning techniques to the specific business need, and then build the models that get the job done. 

This is an opportunity for the right candidate to go from end-to-end in the process, from recognizing a problem to implementing the solution, and integrating it with the business teams.

What you get to do in this role:

Solicit requirements for Data Science models, including what data they will use and how the company will use them after they are builtDefine the variables and their structure, and extract the data from our data warehouse and/or guide specialists to do soBuild predictive models that are accurate, robust, and informative in ways that help our business grow even fasterTeach our business teams what the models do, what the results mean, and how they improve decision-making

Qualifications

To be successful in this role you have:

Master’s Degree, PhD preferred with 6 + years experience with AI/ML3+ years of experience as a Manager or Sr. Manager of Data Science or AI/ML engineering teams with proficiency in providing feedback to work group strategies, policies, and plansAbility to manage several projects simultaneously, scopes projects, realistically estimates work and drive stakeholder/end-user alignmentSuccessful project experience in Data Science in an Enterprise setting, and extensive use of methods like: regression, decision trees, random forests, GBMs, Bayesian methods, neural networks/deep learning, support vector machines, recommendation engines, k-nearest neighbor, NLP, Business Process Mining or HMM4+ years of experience in building predictive models, defining variables, variable selection, and measuring model qualityExperience in model explainability, delivering model explanation/reason codes along with predictions/recommendationsExpertise with scripting in R, SAS, Python, or similar toolsDemonstrated ability to drive creativity and innovation in AI projects. Deep knowledge and hands-on experience in LLMs, deep learning, NLP, NLU, BERT, GPT, NLP, and related AI technologies.Experience in manipulating large datasets and using databases, performing SQL queriesExperience with Azure ML, Azure Data Lake, and/or DatabricksSpecial consideration for applicants experienced in:Driver/impact analysisModel validationSoftware product usage dataExcellent presentation and communication skills 

GCS-23

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!

For positions in this location, we offer a base pay of $192,700 - $337,300, 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. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

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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