Job description

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 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're on the 2021 list of FORTUNE World's Most Admired Companies®.


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


Job Description


About Digital Technology


We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.


Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.


What you get to do in this role:  


  • Facilitate and participate in the preparation of ML data sets and scoring processes
  • Develop and maintain a knowledge of real-time and snapshotted data sources from across the company, as well as Analytics team members responsible for various sources.
  • Work with the Data Scientists to develop and implement key machine learning models
  • Develop and support the ML portion of the Enterprise Data Platform strategy to maximize the distribution of ML predictions and recommendations, including API-based ML scoring and data warehouse-based access
  • Incorporate workflows into ML Data Engineering processes, to automate, monitor, and produce alerts
  • Implement performance tuning and query optimization
  • Act as a resource to the Machine Learning team with regards to Data Lifecycle Management
  • Keep pace with latest technology across various databases, data lakes, warehouses etc
  • Collaborate with Analytics team members to follow all documented architecture, design & deployment processes to ensure compliance with policies
  • Design and develop scalable, reusable data models


Qualifications


To be successful in this role you have:


  • Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar. Master’s degree preferred
  • 10+ years of experience with suite of data warehouse technologies (Snowflake, SAP HANA, Big Data , Python, Azure ML, Azure ADLS).
  • Experience with Data architecture , Data governance , Data quality , Data Security
  • Experience with Enterprise Modelling , Enterprise Reporting Solutions
  • Expertise in SQL is a must – Minimum 6 yrs of SQL exp is desired
  • Knowledge of Sales , Marketing , Customer , Product domain is a plus
  • Exposure to data science / ML is a plus
  • Experience in ad-hoc data analysis, solution design, reporting & dashboard development
  • Experience in BI technologies like Microsoft Power BI is a plus
  • Expertise in working with cross functional teams across different geos
  • Excellent communication skills, ability to work individually and in a broader geographically disperse team
  • Exhibits prior and current technical expertise in analytics technologies and the ability to learn new technology


We provide competitive compensation, generous benefits and a professional atmosphere. This is a very collaborative and inclusive work environment where individuals strong on aptitude and attitude will have


an opportunity to grow their professional careers through working with some of the most advanced technology and talented developers in the business


FD21


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.


All new employees hired in the United States are required to be fully vaccinated against COVID-19, subject to such exceptions as required by law. If hired, you will be required to submit proof of full vaccination or have an approved accommodation, by your start date. Visit our Candidate FAQ page to learn more.


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 talent.acquisition@servicenow.com 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.


Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.


Work personas


Work personas are categories that are assigned to employees depending on the nature of their work. Employees will fall into one of three categories: Remote, Flexible or Required in Office.


Required In Office


A required in office work persona is defined as an employee who is contracted to work from or aligned to a ServiceNow-affiliated office. This persona is required to work from their assigned workplace location 100% of the work week based on the business needs of their role.


Flexible


A flexible work persona is defined as an employee who is contracted to work from or aligned to a ServiceNow-affiliated office and will work from their assigned workplace location roughly 3 days/week or less (generally around 40-60% of the work week). Flexible employees may choose to work the remaining working time from their workplace location or home. Flexible employees are required to work within their state, province, region, or country of employment.


Remote


A remote work persona is defined as an employee who performs their responsibilities exclusively outside of a ServiceNow workplace and is not contracted or aligned to a ServiceNow-affiliated office, including those whose place of work (pursuant to their terms and conditions of employment) is their home. Remote employees are required to work within their state, province, region, or country of employment.

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