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Supply Chain Data Scientist
Skills
Data EngineeringBig Data AnalyticsData AnalysisData AnalyticsData ModelingEngineering Data ManagementStatistical Data Analysis
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree or equivalent experience in quantitative field (Statistics Mathematics Computer Science Engineering etc.)
- At least 1 - 2 years' of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling machine-learning clustering and classification techniques and algorithms
- Fluency in a programming language (Python C C++ Java SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra Hadoop Spark Tableau)
Nice to have
- Data Engineering
- Big Data Analytics
- Data Analysis
- Data Analytics
- Data Modeling
- Engineering Data Management
- Statistical Data Analysis
- Strategic Data Analysis
- Technical Data Analysis
Day to day
- Analyze raw data assessing quality cleansing structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements