Role:
Our data science team is expanding! The successful candidate will work with the data science and engineering teams to collect, process, and analyze data from projects relating to energy, healthcare, finance, and logistics.
Responsibilities and Duties:
- Ingest and organize data from various sources (e.g. CSV, relational database)
- Process data using typical data science techniques (e.g. deduping, imputation)
- Conduct analyses using common DS techniques, such as:
- Linear / logistic regression
- Decision tree algorithms (e.g. random forest)
- Clustering algorithms (e.g. K-means)
- Support vector machine (SVM)
- Analyze and visualize data using common data science packages, such as:
- Numpy
- Pandas
- Matplotlib
- Plotly
- Work in a highly collaborative environment to brainstorm, design, implement and deliver solutions to some of the most challenging industrial IOT problems
Required Experience:
- Experience solving data science problems
- Experience in Python, Java, or Matlab
Preferred Experience:
- Ph.D. preferred or Masters degree in Computer Science or related field
- Application of data science solutions in industrial projects
- Domain expertise in energy, healthcare, finance, and/or logistics
- Research experience with high impact publications
by via developer jobs - Stack Overflow
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