Data Scientist roles and responsibilities
Data Scientist roles and responsibilities include identifying business trends and changes through advanced Big Data Analytics and using a variety of techniques to interpret results from multiple data sources through statistical analysis, data aggregation, and data mining. This is a very important role, and most companies expect some or all of the following Data Scientist skills in candidates before hiring them.
- A natural inclination toward solving complex problems
- Knowledge/experience on/with statistical programming languages, including R, Python, SLQ, etc., to process data and gain insights from it
- Experience using and developing data architectures
- Knowledge of Machine Learning techniques, including decision tree learning, clustering, artificial neural networks, etc., and their pros and cons
- Knowledge and application experience in advanced statistical techniques and concepts, including, regression, distribution properties, statistical testing, etc.
- Good communication skills to promote cross-team collaboration
- Impulse to learn and master new technologies
- Experience/knowledge in statistics and data mining techniques, including, random forest, GLM/regression, social network analysis, text mining, etc.
- Experience with major web services, including S3, Spark, Redshift, etc.
- Experience/knowledge in distributed data and computing tools, including, MapReduce, MySQL, Hadoop, Spark, Hive, etc.
- Ability to use data visualization tools to showcase data for stakeholders using D3, ggplot, Periscope, and more
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