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Lavora con noi

Entra a far parte del team Waterjade

Siamo sempre alla ricerca di persone motivate a lavorare in un ambiente dinamico, che utilizza le più avanzate tecnologie nell’ambito dei dati satellitari, Big Data e machine learning, per fornire ai nostri clienti soluzioni digitali per la previsione delle risorse idriche.

Di seguito proponiamo le posizioni aperte. Nel caso fossi interessato a lavorare con noi, manda il tuo curriculum all’indirizzo careers@waterjade.com specificando il nome della posizione o, nel caso le posizioni non rispecchiassero le tue esperienze, scrivi semplicemente “autocandidatura”.

Di seguito le posizioni aperte.

 

Data scientist senior (rif. 2021_TEC01)

We are looking for a Data Scientist to complement our team and take our prediction chain, mainly based on physical models, to the next level.
We are at an exciting business stage, and this is a central contributing role you will be expected to influence architectural decisions, implement and manage cloud deployments, script automations (Bash, Python, etc..), write code (mostly Python) and help move our core product to continuous delivery. This is a role that will grow significantly with the business.

Main Responsibilities

  • Development of machine learning (ML) models that can also combine the output of physical models for flow forecasting or hydroelectric production;
  • Analyze satellite data sets to derive valuable insights;
  • Build, train, run, own and validate predictive analytical ML models;
  • Collaborate with environmental engineers to create innovative data cleansing and gapfilling procedures;
  • Write and develop production level code/pipelines;
  • Collaborate with DevOps engineer and Data engineer to bring models to production;
  • Actively monitor ML models during their lifecycle and intervene in case of trouble;
  • Presentation of qualitative and quantitative results obtained during development and running of these models;
  • Delivery of fast, stable, scalable, robust and future-proof AI microservices.

Required key qualifications

  • master’s degree in data science or equivalent;
  • + 5 years experience in machine learning models applied to time series such as LightGBM, Ridge, ANN, LSTM;
  • experience in python programming and knowledge of main data science packages (numpy, pandas, keras, scikit-learn);
  • Proficiency with Unix/Linux environments;
  • Knowledge of computer vision approaches and use of transfer learning techniques for the processing of satellite datasets.

Additional desirable qualifications

  • Experience in physical modelling;
  • Knowledge of object oriented python programming and the main software project patterns;
  • Experience with Docker;
  • Passion for the internet, open-source, computing, devices. You’re keen to push the envelope, continuously improving your skills and projects that you work on.

More on qualifications

You are comfortable working independently, while functioning as part of a dynamic team that values collaboration, dialogue, development, learning, and growth.
You care about solving big, systemic problems. You look beyond the surface to understand root causes so that you can build long-term solutions for the whole ecosystem.
You are a person open to developing new ideas and contributing expertise, who enjoys challenges, seeks knowledge, and is a team builder.
You can analyze product requirements, manage tasks and partner with your teammates to match the deadlines.
You are motivated, creative, and empowering.

What we offer

We can offer a permanent contract. Economical compensation will be agreed according to the experience.
Working remotely is an option, although we will give priority to candidates willing to relocate and work in presence.

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