Must be local to Houston and be willing to be onsite at least 4 days a week. (Interview will be onsite and in person) - no relocation
Must be authorized to work in the USA - no sponsorship available
Undergraduate degree in STEM subject or quantitative discipline.
3-5 years hands-on experience working with machine learning models and regressions.
Excellent python skills with a robust understanding of core data science packages (e.g., pandas, numpy, sklearn, etc.).
Experience manipulating and analyzing large, complex datasets.
Strong attention to detail.
Excellent problem-solving skills.
Track record of working with traders or other business stakeholders to create commercially actionable models.
Independent, creative thinker that can find alternative solutions to complex problems.
Desire to continually improve with a passion to innovate and the ability to develop new analytical methodologies.
Ability and desire to work in a fast-paced, dynamic trading environment.
Knowledge of US or North American energy markets (e.g., low-carbon, oil, gas, LNG, or power).
Understanding of supply and demand drivers together with how physical and related financial instruments are traded.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata analysisregressionspythonpandasnumpysklearnanalytical modelsdata solutionsdata manipulation

Soft Skills

attention to detailproblem-solvingindependent thinkercreative thinkingdesire to improvepassion to innovateability to work in fast-paced environmentcollaboration with stakeholders

Certifications

undergraduate degree in STEM