The Team: The Data science team is a newly formed applied research team within S&P Global Ratings that will be responsible for building and executing a bold vision around using Machine Learning, Natural Language Processing, Data Science, knowledge engineering, and human computer interfaces for augmenting various business processes.
The Impact: This role will have a significant impact on the success of our data science projects ranging from choosing which projects should be undertaken, to delivering highest quality solution, ultimately enabling our business processes and products with AI and Data Science solutions.
What’s in it for you: This is a high visibility team with an opportunity to make a very meaningful impact on the future direction of the company. You will work with senior leaders in the organization to help define, build, and transform our business. You will work closely with other senior scientists to create state of the art Augmented Intelligence, Data Science and Machine Learning solutions.
Responsibilities: As a Business Data Engineer you will work closely with the head of the group to understand, evaluate and analyze S&P Global Ratings data science requirements. You should be able to clearly articulate your findings and present to senior management. You should be adept at various modeling tasks, working with knowledge workers, and communicating with various stakeholders. You will also act as an evangelist for data science internally and externally by organizing external speaker series and organizing meetups.
Basic Qualifications: BS in Computer Science, Econometrics, Statistics, Data Analytics, Artificial Intelligence, or related field with 3+ years of relevant industry experience.
Modeling in R, Python
Preferred Qualifications: MS in Computer Science, Econometrics, Data analytics, Statistics, Artificial Intelligence or related field with 1+ years of relevant industry experience.
Experience with Financial data sets, or S&P’s credit ratings process is highly preferred.
Experience in working with knowledge workers, managing a program, leading a large project or relationship is preferred.
Experience in one or more the following areas: Java, Scala, SQL, Oracle
To all recruitment agencies: S&P Global does not accept unsolicited agency resumes. Please do not forward such resumes to any S&P Global employee, office location or website. S&P Global will not be responsible for any fees related to such resumes.
S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdfdescribes discrimination protections under federal law.