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Staff Data Scientist - HR Innovation AI

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

Are you ready to take the leap into an exciting career as a Staff Data Scientist for HR Innovation AI at ServiceNow? Located in the vibrant Salarpuria Sattva Knowledge City in Hyderabad, this role is a fantastic opportunity for individuals passionate about leveraging advanced technologies to drive innovative solutions within the Human Resources space. You will be at the forefront of exploring and developing cutting-edge artificial intelligence and machine learning techniques that have the power to transform HR processes. Collaborating closely with the Global People product teams, you'll pinpoint business challenges and craft AI-driven solutions that truly make a difference. Your creativity and analytical prowess will shine as you develop prototypes and proof-of-concepts showcasing the latest AI methodologies. If you have a knack for working with complex datasets, optimizing AI models, and presenting your research to stakeholders, this might be the perfect role for you. The ideal candidate will possess an advanced degree in Data Science or a related field, coupled with relevant experience in machine learning or AI research. ServiceNow values inclusivity, so if you’re excited about the prospect of contributing to a dynamic team that embraces diverse perspectives, we encourage you to apply!

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

As a Staff Data Scientist - HR Innovation AI at ServiceNow, your main responsibilities will include developing AI technologies that tackle complex HR problems, collaborating with product teams to identify AI-driven opportunities, and optimizing models to enhance performance and reliability. Additionally, you will analyze datasets to train these models and present your findings to various stakeholders.

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What qualifications do I need to apply for the Staff Data Scientist - HR Innovation AI role at ServiceNow?

To be considered for the Staff Data Scientist - HR Innovation AI position, you should have an advanced degree in Data Science, Computer Science, or a related field. You should also have 3-5 years of relevant experience in AI or machine learning, along with proficiency in programming languages like Python or R.

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What skills are essential for a successful Staff Data Scientist - HR Innovation AI at ServiceNow?

Essential skills for a successful Staff Data Scientist - HR Innovation AI include advanced analytical abilities, a strong foundation in mathematical and statistical principles, experience with AI frameworks, as well as excellent communication skills to present complex information to both technical and non-technical audiences.

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Is experience in Human Resources required for the Staff Data Scientist - HR Innovation AI role at ServiceNow?

While experience in Human Resources is preferred for the Staff Data Scientist - HR Innovation AI role at ServiceNow, it is not strictly required. We encourage candidates from varied backgrounds to apply, as different experiences can bring unique perspectives to the team.

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What is the workplace culture like for a Staff Data Scientist at ServiceNow?

The workplace culture at ServiceNow is one of flexibility and trust, recognizing the importance of inclusivity and collaboration. Employees can expect to work in an environment that values diverse experiences, encourages innovation, and promotes a strong sense of community.

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Common Interview Questions for Staff Data Scientist - HR Innovation AI
How would you approach developing a machine learning model for HR applications at ServiceNow?

When developing a machine learning model for HR applications at ServiceNow, I would start by thoroughly understanding the specific business problem that needs addressing. I would then gather and preprocess relevant data, select appropriate algorithms, and focus on model performance through techniques like hyperparameter tuning before deployment.

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Can you discuss a complex AI project you worked on and the impact it had?

Absolutely! In my previous role, I led a project that implemented a predictive analytics model to improve talent acquisition. By analyzing historical hiring data, we developed a model that identified the most effective recruitment channels, which ultimately reduced hiring time by 30%, showcasing how AI can enhance strategic HR decisions.

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What techniques do you use for model evaluation and validation?

I use a combination of cross-validation and performance metrics such as accuracy, precision, recall, and F1 score for model evaluation. Additionally, I often employ confusion matrices to get a deeper insight into how the model performs across different classes, ensuring it meets the required standards.

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How do you stay updated with the latest trends in AI technology?

To stay updated with the latest trends in AI technology, I regularly read renowned AI research journals, attend relevant conferences, and participate in online courses or webinars. I also follow influential figures in the field on platforms like Twitter and LinkedIn.

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Describe your experience with programming languages used in AI development.

I have extensive experience with Python and R, two key programming languages in AI development. I utilize libraries like TensorFlow and scikit-learn for model building and evaluation, and I am comfortable using R for data visualization and exploratory data analysis, which are vital for understanding data.

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How do you ensure data quality and integrity when working with large datasets?

Ensuring data quality starts with thorough data cleaning processes, including removing duplicates, handling missing values, and applying appropriate normalization techniques. I also implement automated testing to continually validate the data's integrity throughout the project.

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What kind of collaboration can you expect with product teams in this role?

In this role, collaboration with product teams is crucial. I would expect to participate in brainstorming sessions to identify AI opportunities, engage in regular meetings to provide project updates, and work alongside engineers to deploy AI applications effectively.

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How would you communicate complex AI concepts to a non-technical audience?

To communicate complex AI concepts to a non-technical audience, I focus on simplifying the terminology and using visuals or analogies that relate to everyday experiences. My goal is to convey the value and practicality of the technology clearly, so they understand its significance.

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What is your approach to continuous learning in the field of AI and data science?

My approach to continuous learning includes dedicating time weekly to study emerging AI techniques and methodologies, participating in online forums and discussions, and applying new concepts through personal projects that allow me to experiment and grow my skillset.

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What drives your passion for working in the AI space specifically for Human Resources?

My passion for working in the AI space for Human Resources stems from the potential to enhance employee experiences and optimize organizational processes. I am motivated by the opportunity to use technology to solve real-world challenges and facilitate better workplace outcomes.

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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
December 10, 2024

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