Data Science Lead

hace 1 semana

Madrid, España Metyis A tiempo completo

We are looking for a Data professional to join our Energy Lab team. As a Data Science Lead, you are responsible for turning our clients’ Energy business a more data-driven one, where data is used to drive action in every team, every day.

**What we offer**:

- Join the Energy Lab team, where we combine our knowledge of the energy sector with experts in digital technologies and data.
- Interact with our clients on regular basis, to create new digital and data capabilities.
- Lead the development of 100+ innovative use cases in customer intelligence, smart assets monitoring and energy market operations.
- Work in multidisciplinary teams and learn from motivated colleagues.
- A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.
- Become part of a fast growing international and diverse team.

**What you will do**:

- Manage client interactions and play a key role in building and developing the Energy Lab.
- Coordinate Metyis consultants and experts efficiently with the client team and third parties (startups, partners and technology centres) to achieve the roadmap goals.
- Provide project management oversight required to meet client expectations.
- Responsibilities may include the development of presentations and managing of external relationships.
- Seek compelling opportunities beyond the scope of the current project.
- Provide guidance to more junior members of the team, while orchestrating the work of the entire team.

**What you’ll bring**:

- Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences).
- Experience in the power and gas sector, particularly in the development of digital and data-related capabilities in the renewable energy, retail and trading.
- Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure information residing in the data under analysis.
- Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus.
- Proven ability to manage projects with expert team members and to provide inspiring guidance to juniors in the team.
- 5-7 years of consulting experience or relevant industry experience, with at least 1+ years at a project lead level.
- Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users.
- Professional fluency in English.

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