Data Scientist For Industry 4.0 Projects İş İlanı
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QUALIFICATIONS AND JOB DESCRIPTION
Job Description
We are currently offering an opportunity for a highly motivated and enthusiastic individual to join us in starting something remarkable as a Data Scientist for Industry 4.0 Projects.
Your contribution to something big:
· Create something new: Process and analyze large datasets and establish hypotheses for solving high-value business problems.
· Structured evaluation: Frame data within relevant business context to develop repeatable models. Test hypotheses by combining data observations and developing innovative mathematical and statistical pricing models. Testing will include prototyping, analyzing, and validating the implementation of the models using statistical and optimization software tools
· Think holistically: Perform validation and testing of models to ensure adequacy and reformulate models as necessary
· Experience cooperation: You work closely together with Central Business Units and Internal & external stakeholders.
· Networked communication: Communicate the results of analyses in a concise and clear language with internal colleagues and external customer
Qualifications
What distinguishes you:
- Education: Technical degree in industrial engineering, statistics, computer, electronics or mechatronics engineering
- Experience and knowledge: You have 4 to 8 years of data science projects
- Know how:
- Python, R, Tensorflow, Keras, Pytorch
- OpenNLP, WordNet, NLTK, OpenCV
- Tech savy and willing to work with open-Source Tools
- Applying statistical and machine learning techniques, such as, mean-variance, k-means, nearest-neighbor, support vector, Bayesian time-series and network analysis to identify outliers, classify events or actors, and correlate anomalous sequences of events.
- Proven track record and experience with statistical modeling/data mining algorithms such as
- Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc.
- Machine learning, deep learning, graph mining.
- DOE, Forecasting, Segmentation, Uncertainty Analysis etc.
- Data Mining i.e. Text Mining, Classification Methods – SVM, NN, etc
- Vector Space model for Unstructured Texto Sentiment Analysis, Association Mining, Semantic Analysis
- Some programming language and willing to learn more is plus
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