There is a huge demand for data science jobs in short term ( 3 years). Reasons:I have observed that after the initial data modelling and implementation, there are no new projects in many companies. For routine improvements, companies may just need a fraction of data scientists they employ right now.Just like web development, ML and data science is seeing modularization and increasingly being packaged as a service (AWS and Google are marching ahead in this). This means there will be fewer data scientists needed to implement same projects in future than today.What do you folks think?

Sure, the two factors you mentioned will likely hurt the demand. Many companies I see are currently hiring data scientists just because of FoMo ("Fear of Missing out"). This is "artificial" demand and will certainly go down once the reality sets in.But will this correction actually hurt data science professionals?I don't think so. In next 3-5 years, I also see a huge demand getting created by mainstream companies that are yet to make a move in data science. Think about ICICI bank, Maruti, Air India, Tata group and then a ton of PSUs like Indian Oil and NABARD. Given their huge scale, they will need an army of data science professionals and that demand will be 1000x of what we are seeing today. In sum, I think these are initial days of data science profession. The real boom is going to actually arrive in next 5 years and will continue for at least another 10.

Will demand of data science jobs reduce in longer run? - Nipun Soni

Saurabh askedon {{::getFormatedLocalTime("2018-10-22T12:29:11.677Z", {without_time: true})}}

Any openings in data science and machine learning? LinkedIn: https://www.linkedin.com/in/saurabh-kamble-52791314a/

I have 12 months of Experience with Python[Numpy,Pandas,MatplotlibSeaborn,Sklearn] and R programming. I have worked on Machine Learning , Natural Language Processing, Deep learning, Data Visualization tools like Tableau , QlikSense , Advance Excel and MySQL, looking for applying these skills on real-time data.Technical Skills:Applied Statistical Modelling for models analysing Z-score, Skew and Kurtosis, Data Transformation, Hypothesis Testing, Using ML Algorithms like Linear/Logistic Regression, Decision Trees, Random Forest,Xgboost,Naive-Bayes,PCA,SVM,K-means,KNN including working on Natural Language Processing with TensorFlow. Sentiment Analysis on IMDB movie dataset, Image Classification using CNN, Customer Segmentation/Churn Analysis.