Senior Electricity Market Optimization Engineer - En remoto, España - Enverus

Enverus

Empresa verificada

En remoto, España

hace 2 semanas

Publicado por:

Isabel García

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Descripción

Senior Electricity Market Optimization Engineer

Why YOU Want This Position

Enverus is the leading energy SaaS company delivering highly technical insights and predictive/prescriptive analytics that empower customers to make decisions that increase profit.

Enverus' innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions.

Enverus is a strategic partner to more than 6,000 customers in 50 countries.

We are currently seeking an E
lectricity Market Optimization Engineer to join our Data Science team.

This role offers the opportunity to join a rapidly growing company delivering industry-leading solutions to customers in the world's most dynamic and fastest-growing sector.

Enverus is seeking an engineer with optimization modelling expertise, and with a successful track record of accurately solving high-level problems by using mathematical modelling, optimization, and statistical analysis.

We pride ourselves on our high-quality work and we are meticulous about maintaining a high standard of accuracy across our services.

You will be supported by a strong technical team of engineers and will help build ambitious products for the power sector.

Performance Objectives

Design, develop, and implement models for existing or new services focused on power markets
Collaborate with software engineers to operationalize and maintain models.
Gather, vet, and analyse data from diverse public and private sources.
Deploy productiongrade code.
Bachelor's degree in operations research, Applied Mathematics, Computer Science, Statistics, Electrical Engineering, or related fields; Master's/PhD preferred.
35 years of experience in power markets focused work.
Proficiency in operations research theories: linear, nonlinear, and integer programming.
Knowledge of optimization modelling languages and solvers, particularly CPLEX and Pyomo.
Experience with unit commitment & dispatch algorithms and leveraging DC power flow equations.
Ability to work with large datasets using modern data lake solutions.
Proficiency in scripting languages, especially Python, and deploying productiongrade code.
High energy, attention to detail, selfmotivation, innovation, and strong teamwork skills in a diverse environment.