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Data Scientist

Houston, TX

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Data Scientist
Partner with key Customers to solve problems and identify trends and opportunities.
Collaborate across multiple teams including analytics, product management, and operations to drive product development.
Passionate about working with large and complex unstructured and structured data sets.
Strong communication and interpersonal skills. You should be able to work across functions and effectively present, recommend and communicate a position by demonstrating its value and tradeoffs.
Comfortable with the terminology, processes, and business goals of the Upstream oil and gas industry.
Familiar with the data types and formats used in the oil and gas industry. Capable and willing to do the heavy lifting of data organization, clean up, and cataloging of the data needed to solve problems. Strong database and SQL skills desirable.
Minimum qualifications:
Bachelor’s degree in a computer, engineering or quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering, petroleum engineering, or geosciences).
Programming experience in one or more of the following: R, C , C#, Java, Python, Scala.
Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
1 years of relevant work experience in data analysis or related field.
Experience with statistical software (e.g., R, Octave, Julia, MATLAB, Pandas, Statistica, SPSS, or SAS) and database languages (e.g., SQL).
Preferred qualifications:
Master’s or Ph.D. in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering, petroleum engineering, or geosciences).
Ph.D. degree in a quantitative discipline
3 years of relevant work experience (e.g., statistician, computational biologist / bioinformatician / data scientist), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. Analytical engagements outside class work while at school can be included.
Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, Theano, etc.
Experience training machine learning models in a cloud computing environment such as: Amazon EC2, Google Cloud Platform, Microsoft Azure, etc.
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
EEO is the LawEEO is the Law SupplementRight to WorkPay Transparency PolicyE-Verify
Current ColleaguesIf you are currently a colleague with IHS Markit please apply internally via Workday.About IHS Markit
IHS Markit harnesses deep sources of information, analytics and expertise to forge solutions for the industries and markets that drive global economies. Our company partners with clients in business, finance and government to provide the unrivaled insights and perspectives that lead to well-informed, confident decisions. We call this The New Intelligence. IHS Markit serves more than 50,000 key customers in more than 140 countries, including 80 percent of the Fortune Global 500. We help decision makers apply higher-level thinking to daily tasks and strategic issues across a host of industries and disciplines including energy, finance, automotive, engineering, technology, maritime and trade, aerospace and defense, chemical, and economics and country risk.
Headquartered in London, IHS Markit (Nasdaq: INFO) is committed to sustainable, profitable growth.
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