Data Scientist

Deep Reinforcement Learning data scientist

BeChained built a solution for industrial manufacturers to optimise and reduce energy costs and carbon offset spent.

By applying to this position, you'll be part of an AI-powered solution making strides in energy efficiency, carbon accounting and demand-response in industry. Our Data Operations team handles actionable data products for businesses.

Data scientists and engineers work together to create highly scalable solutions.

We bring state-of-the-art algorithms into production : we manage MLOps in an automated Cloud environment. You will handle coding with Python, PyTorch, Tensorflow, Pandas, Scikit, Numpy, etc.

in Computer Science or Engineering experience

~ Great programming skills in Python, in a Linux / Mac based environment.

~ You are a well-versed data scientist. We collaborate through version control (Git) and CI / CD systems to build technological roadmap with real time data.

~ Have experience creating data product strategies with Python and time series, in open source software development, with the caveats of jupyter notebooks.

~ Good English oral and written communication skills (Spanish or Italian are a plus)

~ 2 years experience in common cloud based environments (AWS, Google Cloud Platform or Azure)

At BeChained, our mission is to prevent 65 millions tCO2 per year in the industrial processes by 2040, by reducing energy use, lowering dependency on fossil fuels, and foster decarbonization of the energy system. The RL data scientist will play a vital role in expanding our footprint in any industry. The individual will work closely with our data lead to build RL / ML pipelines to provide an actionable solution to customer pain points, and support both technical and economic proposals.

This position offers an incredible opportunity for a passionate individual with a green heart, looking to be part of a genuine, impact-driven project. Your work would be done at either Barcelona office and remotely with flexible working hours.

Extend the production control to the whole production chain.

Code in Cloud-based infrastructure and keep version up to date with Git.

Being agnostic from hardware, unlock the access from a massive amount of data.

Design / build, test & deploy new libraries & APIs. Keep the highest standards of testing & code quality.

Python, PyTorch, Tensorflow, Pandas, Scikit, Numpy, Dockers / Kubernetes on Linux.

Envision new insights from client's real time industrial data. Roll out scalable software & products to process data (e.g. real-time components, REST services).

Use data storage (e.g. time series databases, key-value stores) & data processing technologies (e.g. Kafka, Spark, Airflow, AWS Glue,...)

Required a WORK PERMIT for Spain.

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