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Hello, dear community! I see many job offers for data analysts. Unfortunately, I do not see the curricula for that branch. Who are data anlysts? Are they typical software engineers or they are of academic researchers with PhD degrees mandatorily? What kind of expertise I had fun with R/Mathematica software. My MSc thesis was about symbolic algorithm of text classification. Also I am familiar with modern statistics and well-known machine learning algorithms (SVM, neural nets, Bayesian approaches). My current job is about computer vision. But I do the typical software engineering work:
Do the data analysts do the same? What is the product of the data analysts work? Please, share you evidence and career stories. Thanks. |
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What I did recently to answer a question like that was to look at big companies job offers and pay attention at what they asked in common. So for example, here's what Apple looks for at a Data Scientist: Key Qualifications Masters or PhD in Computer Science, Statistics or Mathematics Description The Advanced Analytics team within the Internet Services group has an opening for a craftsman skilled in Large Scale Data Mining and Machine Learning for making significant contributions to the projects in the area of iTunesStore, AppStore and iCloud. The person will be responsible for designing, developing and maintaining systems, in parts or in whole, involving the following techniques: Artificial Intelligence Machine Learning Large Scale Data Mining Network Analysis Information Retrieval Probabilistic Modeling These skills are required for developing predictive models of user behavior, finding anomalies in transactions, Pattern Recognition, Language Processing and Mining structured, semi-structured and unstructured data. The person will get the opportunity to contribute to projects ranging from the ones involving massive datasets to the ones solving small scale but very complex problems using machine learning and probabilistic modeling techniques. The position will be responsible for : - Data Collection/identification from existing internal databases and external/public data sources. - Analyzing data to build analytical models for solving high-value business problems - Implementing standard and proprietary algorithms for handling and processing the data. - Incorporating the algorithms in distributed and parallel software systems. - Writing infrastructural components of the solutions. - Working with other engineers and managers to help identify viable solutions to business problems and implement end to end analytics solutions. Education Masters or PhD in Computer Science, Statistics or Mathematics Additional Requirements
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