Data Scientist

About Enline

Our solutions combine power systems engineering, AI, and high-performance simulations to deliver actionable recommendations for asset control and optimization.

We’re helping grid operators and renewable producers worldwide meet the challenges of a clean energy future, and we’re looking for talented people to join us.

About The Role

We are looking for a Data Science / Machine Learning Engineer with a solid grounding in power systems to own the analytical and predictive models behind our products, from first prototype to production. You will improve the algorithms our current clients rely on, bring new data sources such as satellite imagery into our solutions, and work side by side with our power systems engineers so that our models respect the physics of the network.

Key Responsibilities

• Develop the analytical and predictive models behind Enline's products.
• Collect relevant data, pre-process it and carry out exploratory data analysis.
• Apply data modelling, statistical and machine learning techniques to build predictive models, including time series forecasting.
• Take models into production.
• Improve existing algorithms to meet the needs of our current clients.
• Work with the power systems engineers, bringing power flow and system analysis knowledge into the models.
• Provide AI-related technical support to the commercial team.
• Communicate the results of analyses and models clearly and concisely to management and other stakeholders.

Requirements:

Basic Qualifications

_Education

_

• Proven experience in data science, with 2+ years of experience.
• In-depth knowledge of data analysis and data mining techniques.
• Experience with data modelling, statistical modelling, machine learning and neural networks.
• Experience with time series and forecasting.
• Experience taking models into production.
• Experience working with satellite imagery data, including pre-processing, processing and analysis.
• Strong programming skills in Python, R or other relevant languages.
• Experience handling large datasets and data storage systems, with knowledge of relational and non-relational databases.
• Knowledge of statistics, including hypothesis testing, analysis of variance, regression and linear models.

_Power systems

_

• Solid knowledge of power flow and system analysis.
• Understanding of transmission and distribution systems.
• Interest or experience in the energy sector.

_Communication

_

• Excellent communication skills and ability to work in a team.
• Fluent, technical English. Portuguese or Spanish are a plus.

Nice to Have

• Experience developing electrical studies.
• Experience with cloud platforms such as AWS, Google Cloud Platform or Microsoft Azure.
• Knowledge of image processing techniques such as segmentation, object detection, classification and pattern recognition.
• Experience with geospatial data libraries.
• Experience working with large-scale, high-complexity APIs.
• Experience with Docker and other container tools such as Kubernetes.
• Knowledge of data analysis and visualisation tools.
• Experience working with software development teams in an agile environment.