Job Location: Kirkland, WA
At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.
With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we’re on the 2021 list of FORTUNE World’s Most Admired Companies®.
Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.
Job Description
The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
What you get to do in this role:
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Bring intelligence to customer workflows by leveraging their individual data –
- Structured data (workflow state evolution, database tables)
- Unstructured data (utterances, descriptions, documents, …)
- Adapting to their unique and complex workflows
- At Scale: 7000+ customers with a wide range of data volumes
- Co-pilot the expansion of machine learning into new products with our product management, internal operations teams and development teams
- Collaborate day-to-day with an energetic team of like-minded data scientists, developers, product managers and quality engineers.
- Master new functional areas and take ownership of customer-critical features
- Mentor and help grow the data science team
Qualifications
To be successful in this role you have:
-
6+ years’ experience; or 3+ years with Ph.D. as a data scientist / in algorithm development positions in a commercial setting:
- Demonstrated ability to deploy machine learning solutions
- Proven track record solving industrial problems with data
- Experience evaluating and developing new machine learning algorithms
- Providing technical leadership to data science teams
- Strong background in statistics, probability, and machine learning
- Excellent written and oral communication skills
- Ability to explain models in simple terms to a broader audience
- Solid software development skills and understanding of computer science fundamentals
- Strong proficiency with Python scientific stack (scikit-learn, pandas, numpy, …)
- Experience with neural network-based NLP technologies (Transformers, BERT, etc.) desired
- Proficient in Java, SQL, source code control systems (git), and basic UNIX utilities
- Strong educational background (M.S.) in a quantitative discipline (Ph.D. preferred)
JV20
Additional Information
ServiceNow is an Equal Employment 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.
All new employees hired in the United States are required to be fully vaccinated against COVID-19, subject to such exceptions as required by law. If hired, you will be required to submit proof of full vaccination or have an approved accommodation, by your start date. Visit our Candidate FAQ page to learn more.
If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at talent.acquisition@servicenow.com for assistance.
For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.
Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.
Work personas
Work personas are categories that are assigned to employees depending on the nature of their work. Employees will fall into one of three categories: Remote, Flexible or Required in Office.
Required in Office
A required in office work persona is defined as an employee who is contracted to work from or aligned to a ServiceNow-affiliated office. This persona is required to work from their assigned workplace location 100% of the work week based on the business needs of their role.
Flexible
A flexible work persona is defined as an employee who is contracted to work from or aligned to a ServiceNow-affiliated office and will work from their assigned workplace location roughly 3 days/week or less (generally around 40-60% of the work week). Flexible employees may choose to work the remaining working time from their workplace location or home. Flexible employees are required to work within their state, province, region, or country of employment.
Remote
A remote work persona is defined as an employee who performs their responsibilities exclusively outside of a ServiceNow workplace and is not contracted or aligned to a ServiceNow-affiliated office, including those whose place of work (pursuant to their terms and conditions of employment) is their home. Remote employees are required to work within their state, province, region, or country of employment.
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