Data Science and Data Scientists
Data science can add value to any business that can use its data well. From statistics and insights across workflows and hiring new candidates, to helping senior staff make better-informed decisions, data science is valuable to any company in any industry.
Since Data Science is not a single domain, it includes a variety of tools and techniques in order to obtain the right data, make sense of it and convert it into business insights. It is the combination of man and machine in equal measure. For some tasks humans are good but for some other tasks machines are good at it. So it is about doing what one does best. When it comes to research, intellectual curiosity and such other skills, humans are very good at it. When it comes to automation of repeated tasks, machines are unbeatable.
The role of a data scientist is all about playing with big numbers. It is about making sense of the numbers and hence mathematics especially statistics plays a vital part in the day to day routine of a data scientist. Some of the aspects that are important when it comes to the domain of statistics include: Calculus, Probability, Linear Algebra among other skills.
Data Science related tech:
- Python, NumPy, SciPy, Scikit-Learn, R, Julia, Matlab, Java, Hadoop, C++
- Machine Learning (Unsupervised and supervised), Natural Language Processing (NLP), Data Wrangling, Deep Learning, Tensorflow, Neural Networks, Random Forests
- Pre Processing tools: Hive, Impala, Spark, Pig
E-Resourcing has considerable experience finding and placing all levels of Data Scientist into many different industries and technology landscapes. If you are a client looking for Data Scientists, in any of their guises, or you are candidate or consultant looking for a role in this area, please get in touch either by ringing +44 1372 748444 or sending an email to email@example.com