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Staff Data Scientist - HR Innovation AI - job 1 of 2

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

The Global People Data Scientist focuses on developing and implementing cutting-edge artificial intelligence technologies to solve complex problems in Human Resources space, improve processes, and drive advancements in various Human Resources AI applications. This role is focused on innovation and bringing new approaches and technologies to ServiceNow’s Global People Team. 

What you get to do in this role: 

  • Explore and develop advanced artificial intelligence and machine learning techniques to create innovative solutions. 

  • In collaboration with Global People product teams, identify opportunities where AI-driven innovation could solve a business problem 

  • Develop prototypes and proof-of-concepts to demonstrate the potential of new AI technologies and applications. 

  • Research new AI methodologies, experiment with novel algorithms, and deploy AI systems to address business challenges and opportunities and stay up-to-date with the latest AI research papers, trends, and industry advancements. 

  • Optimize existing AI models for performance, scalability, and efficiency, ensuring they meet the required accuracy and reliability standards. 

  • Utilize techniques such as hyperparameter tuning, cross-validation, and ensemble methods to improve model outcomes. 

  • Collect, preprocess, and analyze large and complex datasets from various sources to fuel AI models. 

  • Implement data augmentation, feature engineering, and data cleaning techniques to ensure high-quality input for model training. 

  • Collaborate with engineering and product teams to deploy AI models into production environments. 

  • Present research findings, model performance, and innovation ideas to stakeholders and executive teams in a clear and persuasive manner. 

Qualifications

To be successful in this role you have:

  • Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Artificial Intelligence, Mathematics, or a related field. 

  • 3-5 years in relevant machine learning, AI research, or related fields, with a proven track record of innovative projects and publications. 

  • Expertise in AI and machine learning frameworks programming languages (e.g., Python, R), and tools for model development and deployment. 

  • Strong analytical abilities with a deep understanding of mathematical and statistical principles applied to AI. 

  • Excellent communication skills for articulating complex information and presenting to both technical and non-technical audiences. 

  • Preferred: Experience working in the Human Resources space 

  • Preferred: Contributions to peer-reviewed journals or conferences in the field of AI. 

 

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 [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. 

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. 

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What You Should Know About Staff Data Scientist - HR Innovation AI, ServiceNow

At ServiceNow, we're on the lookout for a Staff Data Scientist to join our innovative team in Hyderabad! In this role, you will be at the forefront of developing advanced artificial intelligence technologies that can reshape the Human Resources landscape. Imagine leveraging AI to solve complex problems and enhancing HR processes that impact over 8,100 customers worldwide, including many in the Fortune 500. You will dive deep into the realms of machine learning, crafting prototypes and proofs-of-concept that demonstrate your innovative solutions. Collaborating closely with our talented Global People product teams, you'll identify various opportunities where AI can address business challenges. The part you’ll love the most is staying ahead of the curve — researching new methodologies and deploying cutting-edge systems that keep us on the leading edge of AI trends. Your expertise will aid in optimizing AI models, ensuring they are efficient and reliable. It's a dynamic environment where your analytical skills and your passion for innovation will thrive. If you have an advanced degree in Data Science or a related field, alongside 3-5 years of experience in AI or machine learning, we want to hear from you! Join us at ServiceNow in Hyderabad as we make the world work better for everyone and leave your mark in the exciting intersection of AI and Human Resources.

Frequently Asked Questions (FAQs) for Staff Data Scientist - HR Innovation AI Role at ServiceNow
What are the responsibilities of a Staff Data Scientist at ServiceNow?

As a Staff Data Scientist at ServiceNow, your primary responsibilities include developing AI-driven solutions to enhance the Human Resources space, collaborating with product teams to identify opportunities for innovation, and creating prototypes to showcase new AI applications. You'll also be involved in researching new AI methodologies, optimizing existing models, and presenting findings to stakeholders.

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What qualifications are needed for the Staff Data Scientist position at ServiceNow?

To qualify for the Staff Data Scientist role at ServiceNow, candidates should possess an advanced degree in Data Science, Computer Science, or a related field, along with 3-5 years of experience in machine learning or AI research. Strong programming skills in languages such as Python or R, along with analytical abilities and excellent communication skills, are essential.

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How does the Staff Data Scientist role contribute to HR innovation at ServiceNow?

The Staff Data Scientist plays a pivotal role in HR innovation at ServiceNow by leveraging artificial intelligence and machine learning to develop solutions that improve HR processes, drive efficiencies, and tackle complex challenges. This role enables the Global People Team to harness data effectively and proactively address business needs.

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What kind of projects will a Staff Data Scientist work on at ServiceNow?

In the role of Staff Data Scientist at ServiceNow, you'll work on projects that involve developing AI models, conducting research on novel algorithms, and collaborating with engineering teams to implement AI systems. You will tackle real-world HR problems, optimizing existing models and demonstrating innovative solutions through prototypes.

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What growth opportunities are available for a Staff Data Scientist at ServiceNow?

At ServiceNow, a Staff Data Scientist has numerous growth opportunities, including the chance to lead significant AI projects, contribute to research papers, and advance within the organization. As you innovate and excel, you can expand your skill set and take on new challenges, thanks to our commitment to inclusive career development.

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Common Interview Questions for Staff Data Scientist - HR Innovation AI
Can you describe your experience with AI and machine learning?

When discussing your experience, focus on specific projects you’ve completed, the challenges you faced, and the techniques you employed. Highlight your familiarity with frameworks and tools, and mention any successful implementations that demonstrate your ability to innovate in the AI space.

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What techniques do you use for optimizing AI models?

Talk about techniques such as hyperparameter tuning, cross-validation, ensemble methods, and any specific methods you’ve applied based on project needs. Provide examples of how these techniques improved model performance and reliability in your past work.

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How do you approach research and staying updated with AI trends?

Emphasize your proactive approach to research. Mention specific journals, conferences, or online courses you follow, and how you apply new insights to your projects. Explain how continuous learning influences your work and decision-making.

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Can you provide an example of a successful data-driven project you led?

Share a detailed story about a project where your leadership made a difference. Explain the context, your role, the methods you used, and the outcomes. Highlight challenges you overcame and learning points that could resonate with the interviewer's needs.

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How do you communicate complex data findings to non-technical audiences?

Discuss your strategies for simplifying complex data insights, like using visualizations or relatable analogies. Provide examples of past experiences where you effectively conveyed complicated information to diverse audiences.

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What is your experience with data preprocessing techniques?

Detail your familiarity with various data preprocessing methods, including data cleaning, normalization, and feature engineering. Speak about how effective preprocessing has led to improved model outcomes in your previous projects.

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Describe a time you had to work with a cross-functional team. How did that go?

Illustrate your collaborative experiences with cross-functional teams, emphasizing your communication skills and flexibility. Share an example where your ability to cooperate effectively led to project success or innovation.

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What motivates you in your work as a data scientist?

Reflect on your passion for data and technology. Share how solving complex problems, innovating with AI, or making a positive impact drives your work. This personal insight helps interviewers understand your fit within their team.

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How do you ensure the accuracy and reliability of your models?

Describe the rigorous methods you apply to validate models, such as using different evaluation metrics and conducting thorough testing. Mention past instances where these practices have assured high standards in your work.

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What challenges do you foresee in AI implementation in HR, and how would you address them?

Talk about potential obstacles such as data privacy concerns, changing organizational culture, or technology integration. Address how a strategic approach, including stakeholder engagement and compliance measures, can mitigate these challenges effectively.

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CULTURE VALUES
Inclusive & Diverse
Mission Driven
Rise from Within
Diversity of Opinions
Work/Life Harmony
Empathetic
Feedback Forward
Take Risks
Collaboration over Competition
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Conferences Stipend
Paid Time-Off
Maternity Leave
Equity
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
January 7, 2025

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