ETRM Data Scientist - Munich Germany

Munich, Bavaria  ‐ Onsite

Keywords

Forecasting Python (Programming Language) Machine Learning Data Science Pyspark Microsoft Azure Azure Machine Learning Statistics Deep Learning Machine Learning Operations Cluster Analysis Information Engineering Data Integration Distributed Systems NumPy Predictive Modelling Tensorflow Azure Data Lake Workflows Azure Data Factory Pytorch Prophet Random Forest Generative AI Pandas Xgboost GPT Databricks

Description

Hello #Everyone,

We at #CosMicIT are urgently looking for #ETRM Data Scientist

Locations: Munich Germany
Experience: Min. 7+ Years
Role: Permanent (Tech Mahindra)
Job Type :Onsite.
Language German Must

JD:
· Education Requirements:
o Master’s degree in mathematics, Statistics, Data Science, or related fields is mandatory.
o A Ph.D. in Mathematics, Statistics, Data Science, or similar areas is preferred but not mandatory.

· Mandatory skills:
o 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.

o 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.

o 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.

Eligible candidates, please share their resume/CV at

Any references would also be accepted.

Thanks & Regards,
CosMicIT GmbH, Germany ??
CosMicIT Informatics India Pvt Ltd. ??
CosMicIT Spolka Z Ograniczona Odpowiedzialnoscia, Poland ??
www.CosMic-IT.com | www.CosMic-IT.in
LinkedIn: https://www.linkedin.com/company/cosmic-it/

For more job openings for Europe/India please click the given link: https://jobs.cosmic-it.in
Start date
ASAP
Workload
100% (5 days per week)
Duration
12 months
(extension possible)
From
CosMicIT GmbH
Published at
23.04.2025
Contact person:
Mritunjay jha
Project ID:
2872087
Industry
IT
Contract type
Permanent
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