Location : Bangalore

Experience:
-You should have bachelor’s or master’s degree in computer science, Statistics or Mathematics, Informatics, Information Systems, or another quantitative field.  
-You should have 3+ years of experience of managing a data science team working in diverse area with multiple stakeholders’ collaboration.
-You should have 10+ years of experience in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory.
-Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems.
-Effective communication skills (written and verbal) to properly articulate complicated models and reports to management and other IT development partners. 
-In-depth understanding and modelling experience in supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required. 
-Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable. 
-Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus. 
-Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, TensorFlow, Pandas, SparkML etc. 
-Fluency in programming skills such as Python, R, or other equivalent languages 
-Familiarity with databases like?MySQL, Oracle, SQL Server, NoSQL, etc. is desirable. 
-Experience working with Amazon Sagemaker or Azure ML Studio for deployments is required. 
-Experience in data visualization software such as Tableau, ELK, etc is a plus.