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Job Description

What you get to do in this role:

As part of Instance Observer Data Science team, you will be contributing towards building various data driven solutions which can provide intelligent insights to the customers helping them in their day-to-day decision making.

In this role, you are expected to find innovative and cost-effective solutions to key challenges, deliver high quality code, and work with product managers, data engineers, and quality engineers to convert the solutions into products. The ideal candidate will have a desire to learn with a collaborative mindset.

• Developing new ML algorithms (and working on existing algorithms) for product and feature needs.
• Implement and promote GenAI based solutions within the product
• Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage.
• Creating models for anomaly detection, incident prediction etc.
• Exploring data and providing reports, metrics, and summaries for projects and teammates.
• Searching and processing large datasets for actionable and usable information.
• Develop intelligent data pipelines to support the ML solutions.
• Work with different teams and stakeholders 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.

To be successful in this role you have:

• 5+ years of relevant experience.
• Proficient programming and scripting skills in Python/SQL/.
• Experience with machine learning and data processing libraries, such as TensorFlow, PyTorch, Scikit-Learn, Numpy, Scipy, Pandas, etc.
• Experience working with different classification, regression and clustering models.
• Good to have knowledge of PySpark framework.
• Motivated to work in cutting edge deep learning and GenAI algorithms.
• Highly analytical and data driven mindset.
• 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..
• Developed collaborative interpersonal communication skills, including verbal, written and listening communications.
• Strong educational background in a quantitative discipline.

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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