26.04.2025 aktualisiert


Premiumkunde
100 % verfügbarLead Data Scientist, Data Science Consultant, Research Scientist
Friedberg, Deutschland
Weltweit
PhD Theoretical Condensed Matter PhysicsSkills
AirflowAmazon Web ServicesAmazon S3Data AnalysisKünstliche Neurale NetzwerkeConfluenceJiraMicrosoft AzureBig DataC++Server Message BlockComputer-ClusterCode-ReviewDatenbankenInformation EngineeringETLDatensystemeDatenvisualisierungDevopsRAIDElasticsearchApache HadoopPythonMachine LearningMonte-Carlo-SimulationNosqlNumpyOpenmpPair ProgrammingParallel ComputingPRINCE2Power BiLogstashAnsibleBlockchainTensorflowShell-ScriptSQLDatenverarbeitungDatenspeichertechnologienFeature-EngineeringData ScienceApache SparkKerasDatenstrategieGitPandasMatplotlibPysparkKubernetesVcenterKibanaNetwork ServerStream AnalyticsDockerDatabricks
Apache Airflow, S3, AWS, Ansible, Hadoop, Spark, Neural network, Big Data, Big Data Analytics, Blockchain, C/C++, code reviews, linux cluster, Confluence, data analysis, data processing, Data Storage, data strategy, Data System, data visualization, databases, Databricks, DevOps, docker, Elastic Stack, Elasticsearch, ETL, Feature engineering, Git, Data Engineering, Jira, keras, Kibana, Kubernetes, Logstash, machine learning, machine learning algorithms, matplotlib, Microsoft Azure, Monte Carlo Simulation, servers, NoSQL, numpy, OpenMP, Prince2 Foundation, pair programming, pandas, parallel computing, PowerBI, Power BI, PySpark, Python, RAID, SQL, SQL databases, CIFS, Shell scripting, Stream Analytics, tensorflow, vCenter
Sprachen
DeutschgutEnglischverhandlungssicherFranzösischverhandlungssicher
Projekthistorie
1. Data Preparation & Exploration
2. Modeling & Forecasting
3. Scenario Analysis & Optimization
- Collect, clean, and preprocess operational and financial data.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and key cost drivers.
2. Modeling & Forecasting
- Build and validate time series or machine learning models(TFT, LSTM, NHITS, XGboost) to forecast Opex.
- Incorporate business drivers and external factors (e.g., inflation, production volume).
3. Scenario Analysis & Optimization
- Run simulations and "what-if" scenarios to assess cost variability.
- Identify optimization opportunities and support strategic planning.
- Deploy models in production and monitor performance.
- Communicate insights clearly via dashboards, reports, and stakeholder presentations.