Data Scientist

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 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.
Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.
Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.
Job Description
Company
Work matters. It's where we spend a third of our lives. And the workplace of the future is going to be a great place. We're dedicated to bringing that to life for people everywhere. That's why we put people at the heart of everything we do.
People matter. Our people have a passion for learning, building, and innovating. Whether you're an engineer, a sales professional, a finance professional, or anything in-between, our roles aim to provide each person with meaningful impact and plenty of space to grow.
What you get to do in this role:
Interact with stakeholders in departments across the company, identify opportunities for predictive analytics to enhance our business, match the optimal machine learning techniques to the specific business need, and then build the models that get the job done. This is an opportunity for the right candidate to go from end-to-end in the process, from recognizing a problem to implementing the solution, and integrating it with the business teams. You will:
• Solicit requirements for predictive models, including what data they will use and how the company will use them after they are built
• Define the variables and their structure, and extract the data from our data warehouse and/or guide specialists to do so
• Build predictive models that are accurate, robust, and informative in ways that help our business grow even faster
Qualifications
In order to be successful in this role, we need someone who has:
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in business, programming, or science and significant experience with predictive analytics
• Successful project experience with two or more of the following: regression, decision trees / random forests, Bayesian methods, neural networks / deep learning, support vector machines, associative rules methods, k-nearest neighbor, or NLP / text analytics
• Two or more years of experience in building predictive models, defining variables, variable selection, and measuring model quality
• Expertise with scripting in R, SAS, Python, or similar tools;
• Three or more years of working with business teams to design an appropriate model structure and integrate the results into the business process
• Either database query experience or demonstrated experience working with specialists to retrieve and transform data
Desired skills:
• Skills in profiling data and model results for quality assurance and informational purposes
• Expertise in developing "reason codes" that explain model results/recommendations
• Experience with Azure ML, Azure ML Pipelines, Databricks is a plus.
• Experience with developing ML models using Servicenow's predictive intelligence option is a plus
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.
JV19
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.
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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