Job Type
Job Details
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
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
Qualifications
- 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.
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