Senior Data Scientist

JOB DESCRIPTION

Researches, develops and maintains machine learning and statistical models for business requirements Partners with lines of business to translate business analytic problems into technical solutions and actionable recommendations across the organization Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem Build frameworks leveraging APIs to industrialize AI models across the organization Coordinate with different functional teams to monitor outcomes and refine/ improve the machine learning models Build frameworks leveraging APIs to industrialize AI models across the organization Collaborate with data and software engineers to enable deployment of models that will scale across the companys ecosystem Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) Requirements and Skills You should have Bachelors or Masters degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field You should have 4 to 5 years of experience in solving real life complex business problems using machine learning. Having experience in taking at least on machine learning solution to production is required. In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models 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 a plus

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