16/12/2021 Keyla Grob

Senior Data Scientist

This is tiko Energy Solutions – a company part of the ENGIE Group

The tiko platform brings customers the power of a Virtual Power Plant and an award-winning Smart Home Energy Management system designed to connect Residential and SME assets. With its active VPP deployments, tiko is one of the biggest real-time Smart Grids in the world.

Our customizable, future-proof technology has the life-expectancy of a Physical Power Plant and enables the delivery of the full spectrum of energy services, including the most sophisticated.

Self-driven and open to feedback, our dynamic and multicultural start-up culture will provide you with the perfect opportunity to do excellent work, while you contribute to increasing the presence of our innovative energy management solutions worldwide.

Why it’s great to work at tiko:

Open-mindedness

17 nationalities on 3 campuses at the center of lively cities: Zürich, Paris and Milano, and a common language: English. A company where we all know each other and where your opinion matters – really!

We value our work-life balance

1st class GA in Switzerland, noise cancelling headphones, travelling time considered as working time in trains and flexible hours: we offer a flexible workplace.

Exciting workplace

A kitchen to enjoy our meals together in the office in Zürich, and an attractive shared space in Milan, cake at least once a month, numerous team events, barbecues in the summer and fondues in winter on our rooftop in Zürich… We love spending time together.

Workplace:

Milan, Italy or Zurich, Switzerland

Level of employment:

100%

Your responsibility:

As part of the Data Science Team, you’ll work with high resolution time series data. You contribute to the development and maintenance of the infrastructure necessary for our big data pipelines. You’ll use your knowledge and past experience as a data engineer to design and implement new approaches in order to accelerate and strengthen the set-up of ML applications. You have strong interpersonal skills and enjoy exchanging with other technical teams such as the Backend and DevOps teams.

Your profile:

  • MSc in Computer Science with at least 5 years of experience as a data engineer
  • Experience in building machine learning models for time series data using python, including a deep understanding of how to best select and optimize their architecture
  • Experience in building big data pipelines in Python incl. in-depth knowledge of airflow and pandas
  • Experience scaling up ML pipelines using e.g. Spark or Dask
  • Comfortable with both SQL and No-SQL standard databases (Postgres, InfluxDb…)
  • Experience setting up services on AWS (ECS, EC2, EKS) in a containerized fashion.
  • English fluency mandatory, fluency in German or French an advantage
  • Valid working permit in CH or EU citizenship

Seniority Level:

Mid-Senior Level

Industry:

Information Technology & Energy Services

Job Functions:

  • Technical Project Management
  • Information Technology

Senior Data Scientist

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