Data Scientist Develop classifiers and predictive models. Build and maintain dashboards and BI reports. Collaborate with teams to define KPIs and perform ETL, data wrangling, profiling, and mapping. Analyze data pipelines, streams, APIs and architectures, and implement automation and advanced analytics. Support strategic decisions by gathering requirements and deriving insights. Conduct EDA, statistical modelling, hypothesis testing, and large-scale data transformation. Skills: Python, SQL, R, REST API, Power BI, Tableau, database systems, PySpark, Hive, Spark, BigQuery, Apache and Azure. Employer will accept a master's degree in the Computer Science/Analytics/Data Science/Engineering (any), C.I.S. or equivalent, plus one-year experience. The employee's relocation is contingent on client needs. The frequency of the relocation as well is unknown, and it purely depends on the client's requirements. There is no National or International Travel involved for this position.