Data Scientist

Hello Network,

I hope you're doing well today!

We are recruiting a freelance Data Scientist role for a German Energy Customer based in Essen, Germany:

Duration: 1 year + extensions chance

Location: Essen (2-3 days onsite per week)

Language: German & English Speaking (German is a nice to have)

Client: Multinational Utility Customer

Pay Rate: Negotiable

Key Responsibilities:

Mandatory skills:

Data Science:

 Extensive experience in time-series forecasting, predictive modelling, and deep learning.

 Proficient in designing reusable and scalable machine learning systems.

 Proficiency in implementing techniques such as ARIMA, LSTM, Prophet, Linear Regression, and Random Forest to ensure accurate forecasting and insights.

 Strong command of machine learning libraries, including scikit-learn, XGBoost, Darts, TensorFlow, and PyTorch, along with data manipulation tools like Pandas and NumPy.

 Proven expertise in designing and implementing explicit ensemble techniques such as stacking, boosting and bagging to improve model accuracy and robustness.

 Proven track record of analysing and optimizing performance of operational machine learning models to ensure long-term efficiency and reliability.

 Expertise in retraining and fine-tuning models based on evolving data trends and business requirements.

MLOps Implementation:

 Proficiency in leveraging Python-based MLOps frameworks for automating machine learning pipelines, including model deployment, monitoring, and periodic retraining.

 Advanced experience in using the Azure Machine Learning Python SDK to design and implement parallel model training workflows, incorporating distributed computing, parallel job execution, and efficient handling of large-scale datasets in managed cloud environments.

o PySpark Proficiency

 Strong experience in PySpark for scalable data processing and analytics.

Azure Expertise:

 Azure Machine Learning: Managing parallel model training, deployment, and operationalization using the Python SDK.

 Azure Databricks: Collaborating on data engineering and analytics tasks using PySpark/Python.

 Azure Data Lake: Implementing scalable storage and processing solutions for large datasets.

Preferred skills:

o K-Means Clustering: Experience in applying k-means clustering for data segmentation and pattern identification.

o Bottom-Up Forecasting: Skilled in creating granular bottom-up forecasting models for hierarchical insights.

o Azure Data Factory : Designing, orchestrating, and managing pipelines for seamless data integration and processing.

o knowledge of power trading concepts.

o Generative AI (GenAI): Experience in applying generative AI models, such as GPT or similar frameworks.

If you are interested, or you know someone that could be please reach out and we can arrange a time to speak?