Staff Data Scientist - Employee Workflows

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

Team:
ServiceNow’s Employee Workflows Group (EWF) creates products to improve HR service delivery (HRSD), Workplace Service Delivery (WSD), Legal Service Delivery (LSD), and drive employee growth and development (EGD) at leading enterprises. EWF’s Data Science team is looking for a fulltime Staff Data Scientist to help accelerate the business unit’s data science / workforce and workplace intelligence roadmap.

Role:
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, product teams, and business stakeholders. The ideal candidate will have a desire to learn with a collaborative mindset. In addition to supporting the expansion of our intelligence solutions, this role will support specific projects related to NLP and Generative AI, and reports to the Sr. Manager, Data Science, Employee Workflows.

What you get to do in this role:

• Exploring data and providing reports, metrics, and summaries for projects and teammates.
• Developing new algorithms (and working on existing algorithms) for product and feature needs.
• Building tools and documentation for ETL, with a preference for automation.
• Creating models for NLP algorithms such as named entity extraction, classification, segmentation, and parsing.
• Searching and processing large datasets for actionable and usable information.
• Create and maintain data structures to facilitate ease of use and accessibility.
• Provide guidance and mentoring for more junior data scientists on the team.
• Develop data engineering components to enhance product features and data pipelines.
• Support and advise product teams on best practices regarding LLM usage and GenAI technologies. Specifically geared towards NLP use cases.
• Develop ML models for prediction and/or classification using available data.
• Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage.
• Develop intelligent processing pipelines to help with alerting/anomaly detection.
• Lead complex and technically challenging projects from concept to completion, including specific projects to advance the Employee Workflows product roadmap.
• Take initiative to identify project stakeholders, reach out for requirement clarifications, and communicate changes/objectives/results across teams in a comprehensible way.
• Remotely collaborate with a geographically distributed team and be willing to pitch in to perform other tasks when you see such opportunities.

Qualifications

To be successful in this role you have:

• 10+ years of relevant experience.
• Experience functioning as a technical mentor and subject matter expert among team.
• Ability and passion to challenge the status-quo and propose alternative solutions.
• Proficient programming and scripting skills in Python/SQL/git.
• Extensive experience with machine learning and text processing libraries, such as TensorFlow, PyTorch, Gensim, Scikit-Learn, Numpy, Scipy, Pandas, etc.
• Motivated to work in cutting edge NLP and GenAI algorithms.
• Experience with development on a cloud platform (AWS experience preferred).
• Highly analytical and data driven mindset.
• Experience in using GPUs to train deep learning models with project experience with LLMs.
• Strong understanding of large language models (LLM) and prompting approaches.
• Experience working with technical and statistical problems and communicating the results to a non-technical audience.
• Outcomes-driven, smart, hard-working, and a great team player.
• Creative and apply your vision to problem solving.
• Strong organizational judgment and problem-solving.
• Developed collaborative interpersonal communication skills, including verbal, written and listening communications.
• Strong educational background (Masters, but PhD-preferred) in a quantitative discipline.

JV20

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 globaltalentss@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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