ETRM Data Scientist Data Engineer

Contract Duration : 1 Year and can be extended

Languages Required : English, German (Nice to have)

Remote / Onsite / Hybrid : Hybrid (23 days every week)

Years of Experience Needed : 10 years

ETRM Data Scientist

Experience : 7 years

Job Description :

• Education Requirements :

Master’s degree in Mathematics, Statistics, Data Science, or related fields is mandatory.

• A Ph.D. in Mathematics, Statistics, Data Science, or similar areas is preferred but not mandatory.
• Mandatory Skills :

Data Science :

• Extensive experience in timeseries 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 finetuning 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, and efficient handling of large-scale datasets in managed cloud environments.

Strong experience in PySpark for scalable data processing and analytics.

• 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 :

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

• Bottom-Up Forecasting: Skilled in creating granular bottom-up forecasting models for hierarchical insights.
• Azure Data Factory: Designing, orchestrating, and managing pipelines for seamless data integration and processing.
• Knowledge of power trading concepts.
• Generative AI (GenAI): Experience in applying generative AI models such as GPT or similar frameworks.

Key Skills:

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Employment Type : Full Time

Vacancy : 1

Data Scientist • Essen, North Rhine-Westphalia, Germany