Data Scientist - Forecast
Actively Hiring
Full-time Posted about 2 months ago
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
- check_circle TMC is an international high-tech consultancy company that brings expertise to its clients in order to support them in realizing their technological challenges.
- check_circle 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.
- check_circle At TMC, we believe that people are the driving force behind technological innovation.
- check_circle That is why we strive to create the best possible conditions for tech talents to thrive.
- check_circle We offer a challenging and stimulating work environment where you can be the director of your own career.
- check_circle As an Employeneur, you are part of our TMC family.
- check_circle 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
Remote Ai Data Science