As a Data Scientist, you'll analyze reliability data, build dashboards, and deploy machine learning models, collaborating with engineers and management.
We are multinational team to collaborate with Fortune 500 client !
As a data scientist, you will work together with other team members to build a dashboard for reliability data analysis, which is critical to provide feedback from past field behaviors in our installed base for future improvements.
You will start from understanding the data structure for reliability calculation, and then work closely with data inputs engineer and reliability engineer to collect data inputs. Then you will write python scripts to do data analysis and share data insights, and publish the information in dashboard. After that, you will need to update the scripts by adding new features based on requests from internal customers. With more data collection, you will use machine learning models (such as decision tree, XGBoost, Neural network) to make prediction.
• Provide general guidance of data platform selection, database setup (including data input format and data output format), and data sharing.
• Write python scripts to get raw data or join data from different sources together.
• Write python scripts to do data processing and data analysis.
• Build dashboard to share data analysis results .
• Perform data mining, data benchmarking from actual performance data, machine data, field KPIs, dashboard, SOs, and other sources.
• Provide insights from data mining analysis to higher management and other team members.
• Bachelor or master's degree in math, statistics, data science, computer science, or another related field.
• 1-3 years work experiences in data analyst or data scientist or other related roles.
• Python coding, proficient in Pandas and making interactive plots using Jupyter Notebook.
• Be able to make dashboard from raw data inputs.
• Fast learner, clear logic, can execute tasks with new software/applications/python libraries.
• Delivers fact-based and well-structured messages in a range of different formats.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amount of information with attention to detail and accuracy.
• Reliability knowledge, such as Weibull distribution, Crow-AMSAA reliability growth model.
• Good presentation skill to management and also cross functional teams.
• Has strong ability to use a range of different IT techniques (Python, VBA, SQL, PowerBI, Spotfire, SAP).
• Able to deploy machine learning models for data insights.
• Task orientation, be digital problem solver for the organization.
• Actively gives and seeks constructive feedback.
Top Skills
Decision Tree
Jupyter Notebook
Machine Learning
Neural Network
Pandas
Power BI
Python
SAP
Spotfire
SQL
VBA
Xgboost
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