Data Scientist - S&P Global Commodity Insights
S&P Global is looking for a data scientist who will part of our Data Science and Modelling team, the ideal candidate should be highly motivated and goal-oriented, with an encouraging attitude of working in a very dynamic work environment with a wide range of stakeholders and functional teams.

Job summary:

As a Data Scientist at S&P Global, you will apply your advanced analytics skills to transform our vast datasets into tangible business value. You will slice and dice data, analyse information, communicate your findings and collaborate on product development. Outcome of your work will serve multiple business purposes, from commercialized software solution development, driving internal business decisions, to consulting external clients.

Responsibilities:

• The candidate will drive business decisions based on the insight obtained from the data.
• Strong problem-solving skills with an emphasis on product development.
• Selecting features, building and optimizing machine learning techniques to improve the accuracy of new products.
• Analyse data for trends and patterns, understanding insight from data with a unbiassed mindset.
• Implement different analytical methodologies to help solve various problems related to the energy industry.
• Close collaboration with software developers and machine learning engineers in the implementation of analytical models into production or commercialization.
• Develop and utilize algorithms to perform error analysis to improve model uniformity and accuracy.
• Communicate your findings to both technical and non-technical stakeholders.
• Comfort working in a very dynamic, research-oriented team with several projects under construction in parallel.

Required Qualifications:

• Advanced degree in a highly quantitative field: Computer Science, Machine Learning, Geology, Statistics, Mathematics, etc.
• Proficiency with data mining, knowledge of probability theory and advanced statistical techniques.
• Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis.
• Experience with scientific scripting languages (e.g., Python, R, Matlab)
• Experience accessing and manipulating data in SQL database environments.
• Excellent communication and presentation skills. The candidate must be able to effectively communicate with management, reservoir characterization teams, engineering teams, clients, and other stake holders.

Preferred Qualifications:
• Recent work or internship experience in an advanced data analytics role.
• Experience with object-oriented programming (e.g., C#/C++, Java).
• Knowledge of deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc.
• Knowledge of the energy industry, understanding the different challenges and potential solutions.

We believe in equal employment opportunities:
The company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, the company complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. The company expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of the company's employees to perform their job duties may result in disciplinary actions up to and including discharge.

S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by 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.

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

20 - Professional (EEO-2 Job Categories-United States of America), ANLYTC202.1 - Middle Professional Tier I (EEO Job Group)