AI / ML - Data science in Test

You should have a minimum of 5 years of experience in Data Science in Test, specifically in AI/ML/Testing. Proficiency in R language is a mandatory requirement for this role. Additionally, you should demonstrate the ability to quickly learn and effectively utilize new AI/ML tools. Your experience should include the creation and utilization of advanced machine learning algorithms and statistical methods such as regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks. It is essential that you have proven experience in retrieving data from various SDLC systems and analytic reporting databases. Familiarity with databases and proficiency in database query languages like MySQL, Access, and SQL are expected. Proficiency in Python and other programming languages is also necessary for this role. Your ability to communicate effectively with clients and collaborate efficiently within a team setting is crucial. Strong verbal and written communication skills are required. Experience with cloud computing environments and data science tools such as AWS, SageMaker, GCP, and Databricks is preferred. Experience with NLP algorithms like LSA, LDA, and QNLI is an advantage. Proficiency in tools such as JIRA, Confluence, and GitHub is desirable. Knowledge of software engineering principles and structured software development practices is a plus. You should also have a demonstrated ability to perform statistical data analysis effectively. In summary, the key requirements for this role include a minimum of 5 years of experience in Data Science in Test, proficiency in R language, a good understanding of Python, and a strong background in AI/ML.,