Data Scientist – HR BU

Company Description

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 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we’re proud to be one of FORTUNE 100 Best Companies to Work For® and World’s Most Admired Companies™.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

As part of the EWF Data Science team, you will contribute to features and products by improving the quality of our algorithms and data processes. You will be collaborating with other teams of engineers, designers, product teams, and business stakeholders. The ideal candidate will have a desire to learn with a collaborative mindset. 

What do you get to do in this role:

• Work on large scale Talent/HR products driven by AI. 
• Exploring data and providing metrics for projects and teammates. 
• Developing new algorithms (and working on existing algorithms) for product and feature needs. 
• Creating models for NLP algorithms such as named entity extraction, classification, and parsing. 
• Searching and processing large datasets for actionable and usable information. 

Qualifications

To be successful in this role you have:

• 2-4 years of experience in building models leveraging machine learning & deep learning algorithms.
• Python coding experience, especially with machine learning and text processing libraries.  
• Experience in NLP. 
• SQL and Regex experience is preferred. 
• Experience with technical and statistical problems.
• Experience into HR/Talent/Learning products is preferred.
• Strong organizational judgment and problem-solving. 
• Developed collaborative interpersonal communication skills, including verbal, written and listening communications 

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.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

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 [email protected] 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.

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