Head - Data Science & Analytics

Location: Kolkata/Mumbai/BangaloreDeliverables:Develop principles and approaches for data collection, analysis and visualization, select recommended software packages andrecommendations on application of mathematical models depending on task types▪ Control compliance of data analysts with methodologies in project teams, control of uniformity and consistency of implemented solutions▪ Participation in hiring of analytics specialists: prepare functional tests, conduct interviews and approve development candidates▪ Onboarding and initial analyst training▪ Participation in projects and expert support of teams in the course of product implementation▪ Supervising analytics, model building and interaction with business unit and production managers▪ Play a critical role in database design and development, data integration and ingestion,as well as designing ETL architectures using a variety ofETL tools and techniques▪ Implement the best possible solutions for stakeholders in close collaboration with inhouse & out-sourced Data Science team▪ Lead workstreams in acquiring, ingesting, and processing data from multiple sources and systems into our Data lake, data warehouse & otherbig data platforms.Requirements:5+ years of working experience in data analysis and modeling. Deep technical understanding of Python or R, relational systems (SQL) anddistributed systems (Map/Reduce, Hive, Spark, etc.)▪ Understanding of key areas and methods of analytics, business and data storage systems, software development methods▪ Successful track record of leading complex projects, proven ability to develop and manage talent▪ Knowledge of Data Science and engineering - raw data, model building, hypothesis formulation and validation, results visualization▪ Knowledge of mathematical statistics, predictive analytics, big data analytics▪ Experience in at least one BI tool (e.g. Tableau, Power BI, SAP BO, etc. )▪ End-to-End Data Warehousing experience on SAP BW Hana or Azure Synapse or AWS Redshift, building operational ETL data pipelines across anumber of sources, and constructing relational and dimensional datamodels▪ Experience in at least one ETL tool (e.g. Azure Data Factory, AWS Glue, Informatica, Talend, Pentaho, DataStage)▪ Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate datasets▪ Strong development background with experience in at least two scripting, object oriented or functional programming languages such asSQL, Python, Java, Scala, C#, R▪ Excellent interpersonal skills when interacting in a clear, timely, and professional manner▪ Proven ability in clearly communicating complex solutions