Head - Data Science & Analytics

Location: Kolkata/Mumbai/Bangalore

Deliverables:

Develop principles and approaches for data collection, analysis and visualization, select recommended software packages and

recommendations 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 of

ETL 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 & other

big data platforms.

Requirements:

5+ years of working experience in data analysis and modeling. Deep technical understanding of Python or R, relational systems (SQL) and

distributed 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 a

number 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 as

SQL, Python, Java, Scala, C#, R

▪ Excellent interpersonal skills when interacting in a clear, timely, and professional manner

▪ Proven ability in clearly communicating complex solutions