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TMC
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Data Scientist - Forecast

TMC · Madrid, MD, ES

Actively hiring Posted 12 days ago
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Basic qualifications

  • At least 5 years of experience as a Data Scientist.
  • Solid experience in forecasting models and time series (ARIMA, Prophet, XGBoost, or others).
  • Proficiency in Python and SQL for data analysis and modeling.
  • Experience working with large volumes of data and data pipelines.
  • Knowledge of cloud environments, particularly Azure.
  • Experience with Databricks, Spark / PySpark for distributed processing.
  • Ability to develop scalable and business-oriented solutions.
  • Strong skills in analysis, result interpretation, and model optimization.
  • Desirable experience in: Generative AI or agents applied to data scenarios.
  • Desirable experience in: Model industrialization (MLOps).
  • And most importantly... a huge passion for learning and adding value! 💪

What you can expect from us

  • TMC is an international high-tech consultancy company that brings expertise to its clients in order to support them in realizing their technological challenges.
  • As such, TMC operates as an expert center at the disposal of its clients, helping them become more competitive in an ever more global and rapidly changing technological world.
  • At TMC, we believe that people are the driving force behind technological innovation.
  • That is why we strive to create the best possible conditions for tech talents to thrive.
  • We offer a challenging and stimulating work environment where you can be the director of your own career.
  • As an Employeneur, you are part of our TMC family.
  • In addition to our outstanding technical expertise, fun and engagement are meaningful parts of our culture.

About the company

We are a global high-tech consultancy company with a team of entrepreneurial engineers, scientists, and digital experts from around the world. Together we form a fast-growing and proud community. We offer consultancy services to high-profile clients globally in diverse service areas, such as:

  • Technology & Engineering
  • Energy & Renewables
  • Life sciences & Pharma
  • Digital & IT

Tags & focus areas

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