Lead Software Developer

Energy Pool is a global leader in energy management & demand response for Industrial and commercial electricity end-users.

Demand Response is a central element of smart grids. Energy Pool operates the modulation of electricity by aggregating industrial and commercial consumers in order to improve their capacity to adjust their consumption and to monetize this flexibility (Network stability, electricity markets, auxiliary services, portfolio of public services, etc.). We are committed to build a new energy future, where smart energy management is profitable, while reducing global carbon footprint and increasing social welfare.

We are looking for a Lead Software Developer to support business development needs, research & development and maintaining existing applications.

Looking for new opportunities in an attractive work environment? Join Energy Pool today if you are a person who:

Interests & value drivers

Is passionate about learning and applying new skills.

Is driven to help solve the challenges of the energy transition.

Has a passion for all aspects of applied mathematics: statistics, AI/ML, operations research and computer science.

Is a team player.

Is methodical and structured.

Has good communication skills and enjoys working in a multi-cultural international environment with varied stakeholders.

Tasks and Responsibilities

Participate in all phases of data science projects: problem definition, analysis and investigation of possible solutions, design, implementation, testing, deployment and maintenance of solutions.

Be a key contributor in applying data science and optimization know-how to solve business needs.

Autonomous identification, development, and demonstration of novel techniques/technologies in all domains related Energy Pool’s core activities.

Propose and contribute to improvement programs aiming at improving application and development efficiency.

Share know-how and help coach junior members of the team.

Qualifications

Required

MSc degree in Computer Science, Data Science, or related Fields.

3-5 years’ experience in data science or related areas.

Strong programing skills and hands-on experience with Python and SQL.

Demonstrated knowledge and experience in forecasting and decision support solution development. In particular, demonstrated experience in statistical analysis, machine learning and deep learning.

Experience working with modelling techniques and libraries such as Tensorflow, Pytorch, Sklearn, Pandas, Numpy, Matplotlib, etc.

Familiar with optimization problem modelling (LP, MILP, Dynamic Programing) and related tools and frameworks (CPLEX, GLPK, COIN-OR).

Familiar with AWS Technologies.

Excellent communication skills, with the ability to present technical results to technical and non-technical audiences.

Fluent in English: comfortable communicating in an international context with peers and stakeholders across the organization.

Demonstrated experience using version control (GIT)

Preferred

Experience designing, developing and deploying weather driven forecasting models.

Familiar with Numerical Weather Prediction models, data and data formats (grib, netcdf).

Familiar with probabilistic forecasting and stochastic optimization techniques.

Knowledge and experience of analysis, project management, agile methodologies.

Familiar with the energy industry, power system management concepts and electricity market operations.

Knowledge of RESTful Web Services.